chore: bump version to 4.9.4 in pyproject.toml and __init__.py

Backend serializes monitoring timestamps as naive ISO strings without
timezone designator. JavaScript's new Date() treats such strings as
local time, causing displayed times to be off by the user's UTC offset.
Add parseUTCTimestamp() utility that appends 'Z' to ensure correct UTC
interpretation.

.dockerignore

@@ -0,0 +1,8 @@
+.github
+.venv
+.vscode
+.data
+.temp
+web/.next
+web/node_modules
+web/.env

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,42 +1,30 @@
 name: 漏洞反馈
-description: 报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭
+description: 【供中文用户】报错或漏洞请使用这个模板创建，不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决，请勿提 issue。容器间网络连接问题，参考文档 https://docs.langbot.app/zh/workshop/network-details.html  
 title: "[Bug]: "
 labels: ["bug?"]
 body:
-  - type: dropdown
-    attributes:
-      label: 消息平台适配器
-      description: "连接QQ使用的框架"
-      options:
-        - yiri-mirai（Mirai）
-        - Nakuru（go-cqhttp）
-        - aiocqhttp（使用 OneBot 协议接入的）
-        - qq-botpy（QQ官方API）
-    validations:
-      required: false
   - type: input
     attributes:
       label: 运行环境
-      description: 操作系统、系统架构、**Python版本**、**主机地理位置**
-      placeholder: 例如： CentOS x64 Python 3.10.3、Docker 的直接写 Docker 就行
-    validations:
-      required: true
-  - type: input
-    attributes:
-      label: QChatGPT版本
-      description: QChatGPT版本号
-      placeholder: 例如：v3.3.0，可以使用`!version`命令查看，或者到 pkg/utils/constants.py 查看
+      description: LangBot 版本、操作系统、系统架构、**Python版本**、**主机地理位置**
+      placeholder: 例如：v3.3.0、CentOS x64 Python 3.10.3、Docker
     validations:
       required: true
   - type: textarea
     attributes:
       label: 异常情况
-      description: 完整描述异常情况，什么时候发生的、发生了什么。**请附带日志信息。**
+      description: 完整描述异常情况，什么时候发生的、发生了什么。**请附带日志信息。** 
     validations:
       required: true
   - type: textarea
     attributes:
-      label: 启用的插件
-      description: 有些情况可能和插件功能有关，建议提供插件启用情况。可以使用`!plugin`命令查看已启用的插件
+      label: 复现步骤
+      description: 提供越多信息，我们会越快解决问题，建议多提供配置截图；**如果涉及 Dify、n8n、Langflow 等外部平台，请提供应用的导出文件（如 Dify 应用的 DSL），我们将更快回复您。**
+    validations:
+      required: false
+  - type: textarea
+    attributes:
+      label: 启用的插件
+      description: 有些情况可能和插件功能有关，建议提供插件启用情况。
     validations:
       required: false

.github/ISSUE_TEMPLATE/bug-report_en.yml

@@ -0,0 +1,30 @@
+name: Bug report
+description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://docs.langbot.app/en/workshop/network-details.html
+title: "[Bug]: "
+labels: ["bug?"]
+body:
+  - type: input
+    attributes:
+      label: Runtime environment
+      description: LangBot version, operating system, system architecture, **Python version**, **host location**
+      placeholder: "For example: v3.3.0, CentOS x64 Python 3.10.3, Docker"
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Exception
+      description: Describe the exception in detail, what happened and when it happened. **Please include log information.** 
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Reproduction steps
+      description: How to reproduce this problem, the more detailed the better; the more information you provide, the faster we will solve the problem.
+    validations:
+      required: false
+  - type: textarea
+    attributes:
+      label: Enabled plugins
+      description: Some cases may be related to plugin functionality, so please provide the plugin enablement status.
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -1,7 +1,7 @@
 name: 需求建议
 title: "[Feature]: "
-labels: ["改进"]
-description: "新功能或现有功能优化请使用这个模板；不符合类别的issue将被直接关闭"
+labels: []
+description: "【供中文用户】新功能或现有功能优化请使用这个模板；不符合类别的issue将被直接关闭"
 body:
   - type: dropdown
     attributes:

.github/ISSUE_TEMPLATE/feature-request_en.yml

@@ -0,0 +1,21 @@
+name: Feature request
+title: "[Feature]: "
+labels: []
+description: "New features or existing feature improvements should use this template; issues that do not match will be closed directly"
+body:
+  - type: dropdown
+    attributes:
+      label: This is a?
+      description: New feature request or existing feature improvement
+      options:
+        - New feature
+        - Existing feature improvement
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Detailed description
+      description: Detailed description, the more detailed the better
+    validations:
+      required: true
+      

.github/ISSUE_TEMPLATE/submit-plugin.yml

@@ -1,7 +1,7 @@
 name: 提交新插件
 title: "[Plugin]: 请求登记新插件"
 labels: ["独立插件"]
-description: "本模板供且仅供提交新插件使用"
+description: "【供中文用户】本模板供且仅供提交新插件使用"
 body:
   - type: input
     attributes:

.github/ISSUE_TEMPLATE/submit-plugin_en.yml

@@ -0,0 +1,24 @@
+name: Submit a new plugin
+title: "[Plugin]: Request to register a new plugin"
+labels: ["Independent Plugin"]
+description: "This template is only for submitting new plugins"
+body:
+  - type: input
+    attributes:
+      label: Plugin name
+      description: Fill in the name of the plugin
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Plugin code repository address
+      description: Only support Github
+    validations:
+      required: true
+  - type: textarea
+    attributes:
+      label: Plugin description
+      description: The description of the plugin
+    validations:
+      required: true
+      

.github/dependabot.yml

@@ -10,5 +10,4 @@ updates:
     schedule:
       interval: "weekly"
     allow:
-      - dependency-name: "yiri-mirai-rc"
       - dependency-name: "openai"

.github/pull_request_template.md

@@ -1,17 +1,32 @@
-## 概述
+## 概述 / Overview
 
-实现/解决/优化的内容: 
+> 请在此部分填写你实现/解决/优化的内容:  
+> Summary of what you implemented/solved/optimized:
+> 
 
-## 检查清单
+### 更改前后对比截图 / Screenshots
 
-### PR 作者完成
+> 请在此部分粘贴更改前后对比截图（可以是界面截图、控制台输出、对话截图等）:  
+> Please paste the screenshots of changes before and after here (can be interface screenshots, console output, conversation screenshots, etc.):
+> 
+> 修改前 / Before:
+> 
+> 修改后 / After:
+> 
 
-- [ ] 阅读仓库[贡献指引](https://github.com/RockChinQ/QChatGPT/blob/master/CONTRIBUTING.md)了吗？
-- [ ] 与项目所有者沟通过了吗？
+## 检查清单 / Checklist
 
-### 项目所有者完成
+### PR 作者完成 / For PR author
 
-- [ ] 相关 issues 链接了吗？
-- [ ] 配置项写好了吗？迁移写好了吗？生效了吗？
-- [ ] 依赖写到 requirements.txt 和 core/bootutils/deps.py 了吗
-- [ ] 文档编写了吗？
+*请在方括号间写`x`以打勾 / Please tick the box with `x`*
+
+- [ ] 阅读仓库[贡献指引](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)了吗？ / Have you read the [contribution guide](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)?
+- [ ] 与项目所有者沟通过了吗？ / Have you communicated with the project maintainer?
+- [ ] 我确定已自行测试所作的更改，确保功能符合预期。 / I have tested the changes and ensured they work as expected.
+
+### 项目维护者完成 / For project maintainer
+
+- [ ] 相关 issues 链接了吗？ / Have you linked the related issues?
+- [ ] 配置项写好了吗？迁移写好了吗？生效了吗？ / Have you written the configuration items? Have you written the migration? Has it taken effect?
+- [ ] 依赖加到 pyproject.toml 和 core/bootutils/deps.py 了吗 / Have you added the dependencies to pyproject.toml and core/bootutils/deps.py?
+- [ ] 文档编写了吗？ / Have you written the documentation?

.github/workflows/build-dev-image.yaml

@@ -0,0 +1,29 @@
+name: Build Dev Image
+
+on:
+  push:
+  workflow_dispatch:
+
+jobs:
+  build-dev-image:
+    runs-on: ubuntu-latest
+    # 如果是tag则跳过
+    if: ${{ !startsWith(github.ref, 'refs/tags/') }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+        with:
+          persist-credentials: false
+
+      - name: Generate Tag
+        id: generate_tag
+        run: |
+          # 获取分支名称，把/替换为-
+          echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g'
+          echo ::set-output name=tag::$(echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g')
+      - name: Login to Registry
+        run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
+      - name: Build Docker Image
+        run: |
+          docker buildx create --name mybuilder --use
+          docker build -t rockchin/langbot:${{ steps.generate_tag.outputs.tag }} . --push

.github/workflows/build-docker-image.yml

@@ -1,7 +1,5 @@
 name: Build Docker Image
 on:
-  #防止fork乱用action设置只能手动触发构建
-  workflow_dispatch:
   ## 发布release的时候会自动构建
   release:
     types: [published]
@@ -13,18 +11,15 @@ jobs:
     steps:
       - name: Checkout
         uses: actions/checkout@v2
+        with:
+          persist-credentials: false
+
       - name: judge has env GITHUB_REF  # 如果没有GITHUB_REF环境变量，则把github.ref变量赋值给GITHUB_REF
         run: |
           if [ -z "$GITHUB_REF" ]; then
             export GITHUB_REF=${{ github.ref }}
             echo $GITHUB_REF
           fi
-      # - name: Check GITHUB_REF env
-      #   run: echo $GITHUB_REF
-      # - name: Get version  # 在 GitHub Actions 运行环境
-      #   id: get_version
-      #   if: (startsWith(env.GITHUB_REF, 'refs/tags/')||startsWith(github.ref, 'refs/tags/')) && startsWith(github.repository, 'RockChinQ/QChatGPT')
-      #   run: export GITHUB_REF=${GITHUB_REF/refs\/tags\//}
       - name: Check version
         id: check_version
         run: |
@@ -44,5 +39,9 @@ jobs:
         run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
       - name: Create Buildx
         run: docker buildx create --name mybuilder --use
-      - name: Build  # image name: rockchin/qchatgpt:<VERSION>
-        run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/qchatgpt:${{ steps.check_version.outputs.version }} -t rockchin/qchatgpt:latest . --push
+      - name: Build for Release # only relase, exlude pre-release
+        if: ${{ github.event.release.prerelease == false }}
+        run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} -t rockchin/langbot:latest . --push
+      - name: Build for Pre-release # no update for latest tag
+        if: ${{ github.event.release.prerelease == true }}
+        run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} . --push

.github/workflows/build-release-artifacts.yaml

@@ -0,0 +1,62 @@
+name: Build Release Artifacts
+
+on:
+  workflow_dispatch:
+  ## 发布release的时候会自动构建
+  release:
+    types: [published]
+
+jobs:
+  build-artifacts:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+        with:
+          persist-credentials: false
+
+      - name: Check version
+        id: check_version
+        run: |
+          echo $GITHUB_REF
+          # 如果是tag，则去掉refs/tags/前缀
+          if [[ $GITHUB_REF == refs/tags/* ]]; then
+            echo "It's a tag"
+            echo $GITHUB_REF
+            echo $GITHUB_REF | awk -F '/' '{print $3}'
+            echo ::set-output name=version::$(echo $GITHUB_REF | awk -F '/' '{print $3}')
+          else
+            echo "It's not a tag"
+            echo $GITHUB_REF
+            echo ::set-output name=version::${GITHUB_REF}
+          fi
+
+      - name: Make Temp Directory
+        run: |
+          mkdir -p /tmp/langbot_build_web
+          cp -r . /tmp/langbot_build_web
+      - name: Setup Node
+        uses: actions/setup-node@v2
+        with:
+          node-version: '22'
+      - name: Build Web
+        run: |
+          cd /tmp/langbot_build_web/web
+          npm install
+          npm run build
+      - name: Package Output
+        run: |
+          cp -r /tmp/langbot_build_web/web/out ./web
+      - name: Upload Artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: langbot-${{ steps.check_version.outputs.version }}-all
+          path: .
+
+      - name: Upload To Release
+        env:
+          GH_TOKEN: ${{ secrets.RELEASE_UPLOAD_GITHUB_TOKEN }}
+        run: |
+          # 本目录下所有文件打包成zip
+          zip -r langbot-${{ steps.check_version.outputs.version }}-all.zip .
+          gh release upload ${{ github.event.release.tag_name }} langbot-${{ steps.check_version.outputs.version }}-all.zip

.github/workflows/lint.yml

@@ -0,0 +1,60 @@
+name: Lint
+
+on:
+  push:
+    branches:
+      - main
+      - master
+      - dev
+  pull_request:
+    types: [opened, synchronize, reopened, ready_for_review]
+
+jobs:
+  ruff:
+    name: Ruff Lint & Format
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
+
+      - name: Install dependencies
+        run: uv sync --dev
+
+      - name: Run ruff check
+        run: uv run ruff check src
+
+      - name: Run ruff format
+        run: uv run ruff format src --check
+
+  frontend:
+    name: Frontend Lint
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '25'
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@v4
+        with:
+          version: 9
+
+      - name: Install dependencies
+        working-directory: web
+        run: pnpm install
+
+      - name: Run lint
+        working-directory: web
+        run: pnpm lint

.github/workflows/publish-to-pypi.yml

@@ -0,0 +1,46 @@
+name: Build and Publish to PyPI
+
+on:
+  workflow_dispatch:
+  release:
+    types: [published]
+
+jobs:
+  build-and-publish:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      id-token: write  # Required for trusted publishing to PyPI
+    
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          persist-credentials: false
+
+      - name: Set up Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '22'
+
+      - name: Build frontend
+        run: |
+          cd web
+          npm install -g pnpm
+          pnpm install
+          pnpm build
+          mkdir -p ../src/langbot/web/out
+          cp -r out ../src/langbot/web/
+
+      - name: Install the latest version of uv
+        uses: astral-sh/setup-uv@v6
+        with:
+          version: "latest"
+
+      - name: Build package
+        run: |
+          uv build
+
+      - name: Publish to PyPI
+        run: |
+          uv publish --token ${{ secrets.PYPI_TOKEN }}

.github/workflows/run-tests.yml

@@ -0,0 +1,71 @@
+name: Unit Tests
+
+on:
+  pull_request:
+    types: [opened, ready_for_review, synchronize]
+    paths:
+      - 'pkg/**'
+      - 'tests/**'
+      - '.github/workflows/run-tests.yml'
+      - 'pyproject.toml'
+      - 'run_tests.sh'
+  push:
+    branches:
+      - master
+      - develop
+    paths:
+      - 'pkg/**'
+      - 'tests/**'
+      - '.github/workflows/run-tests.yml'
+      - 'pyproject.toml'
+      - 'run_tests.sh'
+
+jobs:
+  test:
+    name: Run Unit Tests
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.11', '3.12', '3.13']
+      fail-fast: false
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install uv
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        run: |
+          uv sync --dev
+
+      - name: Run unit tests
+        run: |
+          bash run_tests.sh
+
+      - name: Upload coverage to Codecov
+        if: matrix.python-version == '3.12'
+        uses: codecov/codecov-action@v5
+        with:
+          files: ./coverage.xml
+          flags: unit-tests
+          name: unit-tests-coverage
+          fail_ci_if_error: false
+        env:
+          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+
+      - name: Test Summary
+        if: always()
+        run: |
+          echo "## Unit Tests Results" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "Python Version: ${{ matrix.python-version }}" >> $GITHUB_STEP_SUMMARY
+          echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY

.github/workflows/sync-wiki.yml

@@ -1,43 +0,0 @@
-name: Update Wiki
-
-on:
-  push:
-    branches:
-      - master
-    paths:
-      - 'res/wiki/**'
-
-jobs:
-  update-wiki:
-    runs-on: ubuntu-latest
-    steps:
-    - name: Checkout
-      uses: actions/checkout@v2
-    - name: Setup Git
-      run: |
-        git config --global user.name "GitHub Actions"
-        git config --global user.email "github-actions[bot]@users.noreply.github.com"
-    - name: Clone Wiki Repository
-      uses: actions/checkout@v2
-      with:
-        repository: RockChinQ/QChatGPT.wiki
-        path: wiki
-    - name: Delete old wiki content
-      run: |
-        rm -rf wiki/*
-    - name: Copy res/wiki content to wiki
-      run: |
-        cp -r res/wiki/* wiki/
-    - name: Check for changes
-      run: |
-        cd wiki
-        if git diff --quiet; then
-          echo "No changes to commit."
-          exit 0
-        fi
-    - name: Commit and Push Changes
-      run: |
-        cd wiki
-        git add .
-        git commit -m "Update wiki"
-        git push

.github/workflows/test-dev-image.yaml

@@ -0,0 +1,108 @@
+name: Test Dev Image
+
+on:
+  workflow_run:
+    workflows: ["Build Dev Image"]
+    types:
+      - completed
+    branches:
+      - master
+
+jobs:
+  test-dev-image:
+    runs-on: ubuntu-latest
+    # Only run if the build workflow succeeded
+    if: ${{ github.event.workflow_run.conclusion == 'success' }}
+    
+    permissions:
+      contents: read
+    
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Update Docker Compose to use master tag
+        working-directory: ./docker
+        run: |
+          # Replace 'latest' with 'master' tag for testing the dev image
+          sed -i 's/rockchin\/langbot:latest/rockchin\/langbot:master/g' docker-compose.yaml
+          echo "Updated docker-compose.yaml to use master tag:"
+          cat docker-compose.yaml
+
+      - name: Start Docker Compose
+        working-directory: ./docker
+        run: docker compose up -d
+
+      - name: Wait and Test API
+        run: |
+          # Function to test API endpoint
+          test_api() {
+            echo "Testing API endpoint..."
+            response=$(curl -s --connect-timeout 10 --max-time 30 -w "\n%{http_code}" http://localhost:5300/api/v1/system/info 2>&1)
+            curl_exit_code=$?
+            
+            if [ $curl_exit_code -ne 0 ]; then
+              echo "Curl failed with exit code: $curl_exit_code"
+              echo "Error: $response"
+              return 1
+            fi
+            
+            http_code=$(echo "$response" | tail -n 1)
+            response_body=$(echo "$response" | head -n -1)
+            
+            if [ "$http_code" = "200" ]; then
+              echo "API is healthy! Response code: $http_code"
+              echo "Response: $response_body"
+              return 0
+            else
+              echo "API returned non-200 response: $http_code"
+              echo "Response body: $response_body"
+              return 1
+            fi
+          }
+
+          # Wait 30 seconds before first attempt
+          echo "Waiting 30 seconds for services to start..."
+          sleep 30
+
+          # Try up to 3 times with 30-second intervals
+          max_attempts=3
+          attempt=1
+
+          while [ $attempt -le $max_attempts ]; do
+            echo "Attempt $attempt of $max_attempts"
+            
+            if test_api; then
+              echo "Success! API is responding correctly."
+              exit 0
+            fi
+            
+            if [ $attempt -lt $max_attempts ]; then
+              echo "Retrying in 30 seconds..."
+              sleep 30
+            fi
+            
+            attempt=$((attempt + 1))
+          done
+
+          # All attempts failed
+          echo "Failed to get healthy response after $max_attempts attempts"
+          exit 1
+
+      - name: Show Container Logs on Failure
+        if: failure()
+        working-directory: ./docker
+        run: |
+          echo "=== Docker Compose Status ==="
+          docker compose ps
+          echo ""
+          echo "=== LangBot Logs ==="
+          docker compose logs langbot
+          echo ""
+          echo "=== Plugin Runtime Logs ==="
+          docker compose logs langbot_plugin_runtime
+
+      - name: Cleanup
+        if: always()
+        working-directory: ./docker
+        run: docker compose down

.github/workflows/test-pr.yml

@@ -1,80 +0,0 @@
-name: Test Pull Request
-
-on:
-  pull_request:
-    types: [ready_for_review]
-    paths:
-      # 任何py文件改动都会触发
-      - '**.py'
-  pull_request_review:
-    types: [submitted]
-  issue_comment:
-    types: [created]
-  # 允许手动触发
-  workflow_dispatch:
-
-jobs:
-  perform-test:
-    runs-on: ubuntu-latest
-    # 如果事件为pull_request_review且review状态为approved，则执行
-    if: >
-      github.event_name == 'pull_request' ||
-      (github.event_name == 'pull_request_review' && github.event.review.state == 'APPROVED') ||
-      github.event_name == 'workflow_dispatch' ||
-      (github.event_name == 'issue_comment' && github.event.issue.pull_request != '' && contains(github.event.comment.body, '/test') && github.event.comment.user.login == 'RockChinQ')
-    steps:
-      # 签出测试工程仓库代码
-      - name: Checkout
-        uses: actions/checkout@v2
-        with:
-          # 仓库地址
-          repository: RockChinQ/qcg-tester
-          # 仓库路径
-          path: qcg-tester
-      - name: Setup Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: '3.10'
-
-      - name: Install dependencies
-        run: |
-          cd qcg-tester
-          python -m pip install --upgrade pip
-          pip install -r requirements.txt
-
-      - name: Get PR details
-        id: get-pr
-        if: github.event_name == 'issue_comment'
-        uses: octokit/request-action@v2.x
-        with:
-          route: GET /repos/${{ github.repository }}/pulls/${{ github.event.issue.number }}
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Set PR source branch as env variable
-        if: github.event_name == 'issue_comment'
-        run: |
-          PR_SOURCE_BRANCH=$(echo '${{ steps.get-pr.outputs.data }}' | jq -r '.head.ref')
-          echo "BRANCH=$PR_SOURCE_BRANCH" >> $GITHUB_ENV
-
-      - name: Set PR Branch as bash env
-        if: github.event_name != 'issue_comment'
-        run: |
-          echo "BRANCH=${{ github.head_ref }}" >> $GITHUB_ENV
-      - name: Set OpenAI API Key from Secrets
-        run: |
-          echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> $GITHUB_ENV
-      - name: Set OpenAI Reverse Proxy URL from Secrets
-        run: |
-          echo "OPENAI_REVERSE_PROXY=${{ secrets.OPENAI_REVERSE_PROXY }}" >> $GITHUB_ENV
-      - name: Run test
-        run: |
-          cd qcg-tester
-          python main.py
-
-      - name: Upload coverage reports to Codecov
-        run: |
-          cd qcg-tester/resource/QChatGPT
-          curl -Os https://uploader.codecov.io/latest/linux/codecov
-          chmod +x codecov
-          ./codecov -t ${{ secrets.CODECOV_TOKEN }}

.gitignore

@@ -2,10 +2,10 @@
 .idea/
 __pycache__/
 database.db
-qchatgpt.log
+langbot.log
 /banlist.py
-plugins/
-!plugins/__init__.py
+/plugins/
+!/plugins/__init__.py
 /revcfg.py
 prompts/
 logs/
@@ -16,22 +16,39 @@ scenario/
 !scenario/default-template.json
 override.json
 cookies.json
-res/announcement_saved
-res/announcement_saved.json
+data/labels/announcement_saved.json
 cmdpriv.json
 tips.py
-.venv
+venv*
 bin/
 .vscode
-test_*
+/test_*
 venv/
 hugchat.json
 qcapi
 claude.json
 bard.json
 /*yaml
+!.pre-commit-config.yaml
+!components.yaml
 !/docker-compose.yaml
-res/instance_id.json
+data/labels/instance_id.json
 .DS_Store
 /data
-botpy.log*
+botpy.log*
+/poc
+/libs/wecom_api/test.py
+/venv
+test.py
+/web_ui
+.venv/
+/test
+plugins.bak
+coverage.xml
+.coverage
+src/langbot/web/
+
+# Build artifacts
+/dist
+/build
+*.egg-info

.mcp.json

@@ -0,0 +1,37 @@
+{
+  "mcpServers": {
+    "shadcn": {
+      "command": "npx",
+      "args": [
+        "shadcn@latest",
+        "mcp"
+      ]
+    },
+    "sequential-thinking": {
+      "type": "stdio",
+      "command": "npx",
+      "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
+      "env": {}
+    },
+    "github": {
+      "type": "stdio",
+      "command": "npx",
+      "args": ["-y", "@modelcontextprotocol/server-github"],
+      "env": {
+        "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
+      }
+    },
+    "fetch": {
+      "type": "stdio",
+      "command": "uvx",
+      "args": ["mcp-server-fetch"],
+      "env": {}
+    },
+    "playwright": {
+      "type": "stdio",
+      "command": "npx",
+      "args": ["-y", "@playwright/mcp@latest"],
+      "env": {}
+    }
+  }
+}

.pre-commit-config.yaml

@@ -0,0 +1,27 @@
+repos:
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    # Ruff version.
+    rev: v0.11.7
+    hooks:
+      # Run the linter of backend.
+      - id: ruff
+        args: [--fix]
+      # Run the formatter of backend.
+      - id: ruff-format
+
+  - repo: https://github.com/pre-commit/mirrors-prettier
+    rev: v3.1.0
+    hooks:
+      - id: prettier
+        types_or: [javascript, jsx, ts, tsx, css, scss]
+        additional_dependencies:
+          - prettier@3.1.0
+
+  - repo: local
+    hooks:
+      - id: lint-staged
+        name: lint-staged
+        entry: cd web && pnpm lint-staged
+        language: system
+        types: [javascript, jsx, ts, tsx]
+        pass_filenames: false

AGENTS.md

@@ -0,0 +1,88 @@
+# AGENTS.md
+
+This file is for guiding code agents (like Claude Code, GitHub Copilot, OpenAI Codex, etc.) to work in LangBot project.
+
+## Project Overview
+
+LangBot is a open-source LLM native instant messaging bot development platform, aiming to provide an out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, supporting global instant messaging platforms, and providing rich API interfaces, supporting custom development.
+
+LangBot has a comprehensive frontend, all operations can be performed through the frontend. The project splited into these major parts:
+
+- `./src/langbot`: The main python package of the project, below are the main modules in this package:
+    - `./pkg`: The core python package of the project backend.
+        - `./pkg/platform`: The platform module of the project, containing the logic of message platform adapters, bot managers, message session managers, etc.
+        - `./pkg/provider`: The provider module of the project, containing the logic of LLM providers, tool providers, etc.
+        - `./pkg/pipeline`: The pipeline module of the project, containing the logic of pipelines, stages, query pool, etc.
+        - `./pkg/api`: The api module of the project, containing the http api controllers and services.
+        - `./pkg/plugin`: LangBot bridge for connecting with plugin system.
+    - `./libs`: Some SDKs we previously developed for the project, such as `qq_official_api`, `wecom_api`, etc.
+    - `./templates`: Templates of config files, components, etc.
+    - `./web`: Frontend codebase, built with Next.js + **shadcn** + **Tailwind CSS**.
+    - `./docker`: docker-compose deployment files.
+
+## Backend Development
+
+We use `uv` to manage dependencies.
+
+```bash
+pip install uv
+uv sync --dev
+```
+
+Start the backend and run the project in development mode.
+
+```bash
+uv run main.py
+```
+
+Then you can access the project at `http://127.0.0.1:5300`.
+
+## Frontend Development
+
+We use `pnpm` to manage dependencies.
+
+```bash
+cd web
+cp .env.example .env
+pnpm install
+pnpm dev
+```
+
+Then you can access the project at `http://127.0.0.1:3000`.
+
+## Plugin System Architecture
+
+LangBot is composed of various internal components such as Large Language Model tools, commands, messaging platform adapters, LLM requesters, and more. To meet extensibility and flexibility requirements, we have implemented a production-grade plugin system.
+
+Each plugin runs in an independent process, managed uniformly by the Plugin Runtime. It has two operating modes: `stdio` and `websocket`. When LangBot is started directly by users (not running in a container), it uses `stdio` mode, which is common for personal users or lightweight environments. When LangBot runs in a container, it uses `websocket` mode, designed specifically for production environments.
+
+Plugin Runtime automatically starts each installed plugin and interacts through stdio. In plugin development scenarios, developers can use the lbp command-line tool to start plugins and connect to the running Runtime via WebSocket for debugging.
+
+> Plugin SDK, CLI, Runtime, and entities definitions shared between LangBot and plugins are contained in the [`langbot-plugin-sdk`](https://github.com/langbot-app/langbot-plugin-sdk) repository.
+
+## Some Development Tips and Standards
+
+- LangBot is a global project, any comments in code should be in English, and user experience should be considered in all aspects.
+- Thus you should consider the i18n support in all aspects.
+- LangBot is widely adopted in both toC and toB scenarios, so you should consider the compatibility and security in all aspects.
+- If you were asked to make a commit, please follow the commit message format: 
+    - format: <type>(<scope>): <subject>
+    - type: must be a specific type, such as feat (new feature), fix (bug fix), docs (documentation), style (code style), refactor (refactoring), perf (performance optimization), etc.
+    - scope: the scope of the commit, such as the package name, the file name, the function name, the class name, the module name, etc.
+    - subject: the subject of the commit, such as the description of the commit, the reason for the commit, the impact of the commit, etc.
+- If you changed the definition of database entities, please update the migration file in `src/langbot/pkg/persistence/migrations/` and update the constants.py file in `src/langbot/pkg/utils/constants.py` with the new migration number.
+
+## Some Principles
+
+- Keep it simple, stupid.
+- Entities should not be multiplied unnecessarily
+- 八荣八耻
+
+    以瞎猜接口为耻，以认真查询为荣。
+    以模糊执行为耻，以寻求确认为荣。
+    以臆想业务为耻，以人类确认为荣。
+    以创造接口为耻，以复用现有为荣。
+    以跳过验证为耻，以主动测试为荣。
+    以破坏架构为耻，以遵循规范为荣。
+    以假装理解为耻，以诚实无知为荣。
+    以盲目修改为耻，以谨慎重构为荣。

CLAUDE.md

@@ -0,0 +1 @@
+AGENTS.md

CONTRIBUTING.md

@@ -5,22 +5,27 @@
 ### 贡献形式
 
 - 提交PR，解决issues中提到的bug或期待的功能
-- 提交PR，实现您设想的功能（请先提出issue与作者沟通）
-- 优化代码架构，使各个模块的组织更加整洁优雅
-- 在issues中提出发现的bug或者期待的功能
+- 提交PR，实现您设想的功能（请先提出issue与项目维护者沟通）
 - 为本项目在其他社交平台撰写文章、制作视频等
 - 为本项目的衍生项目作出贡献，或开发插件增加功能
 
-### 如何开始
+### 沟通语言规范
 
-- 加入本项目交流群，一同探讨项目相关事务
-- 解决本项目或衍生项目的issues中亟待解决的问题
-- 阅读并完善本项目文档
-- 在各个社交媒体撰写本项目教程等
+- 在 PR 和 Commit Message 中请使用全英文
+- 对于中文用户，issue 中可以使用中文
 
-### 代码规范
+<hr/>
 
-- 代码中的注解`务必`符合Google风格的规范
-- 模块顶部的引入代码请遵循`系统模块`、`第三方库模块`、`自定义模块`的顺序进行引入
-- `不要`直接引入模块的特定属性，而是引入这个模块，再通过`xxx.yyy`的形式使用属性
-- 任何作用域的字段`必须`先声明后使用，并在声明处注明类型提示
+## Guidelines
+
+### Contribution
+
+- Submit PRs to solve bugs or features in the issues
+- Submit PRs to implement your ideas (Please create an issue first and communicate with the project maintainer)
+- Write articles or make videos about this project on other social platforms
+- Contribute to the development of derivative projects, or develop plugins to add features
+
+### Spoken Language
+
+- Use English in PRs and Commit Messages
+- For English users, you can use English in issues

Dockerfile

@@ -1,11 +1,23 @@
-FROM python:3.10.13-slim
+FROM node:22-alpine AS node
+
+WORKDIR /app
+
+COPY web ./web
+
+RUN cd web && npm install && npm run build
+
+FROM python:3.12.7-slim
+
 WORKDIR /app
 
 COPY . .
 
+COPY --from=node /app/web/out ./web/out
+
 RUN apt update \
     && apt install gcc -y \
-    && python -m pip install -r requirements.txt \
+    && python -m pip install --no-cache-dir uv \
+    && uv sync \
     && touch /.dockerenv
 
-CMD [ "python", "main.py" ]
+CMD [ "uv", "run", "--no-sync", "main.py" ]

LICENSE

@@ -1,661 +1,201 @@
-                    GNU AFFERO GENERAL PUBLIC LICENSE
-                       Version 3, 19 November 2007
-
- Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
- Everyone is permitted to copy and distribute verbatim copies
- of this license document, but changing it is not allowed.
-
-                            Preamble
-
-  The GNU Affero General Public License is a free, copyleft license for
-software and other kinds of works, specifically designed to ensure
-cooperation with the community in the case of network server software.
-
-  The licenses for most software and other practical works are designed
-to take away your freedom to share and change the works.  By contrast,
-our General Public Licenses are intended to guarantee your freedom to
-share and change all versions of a program--to make sure it remains free
-software for all its users.
-
-  When we speak of free software, we are referring to freedom, not
-price.  Our General Public Licenses are designed to make sure that you
-have the freedom to distribute copies of free software (and charge for
-them if you wish), that you receive source code or can get it if you
-want it, that you can change the software or use pieces of it in new
-free programs, and that you know you can do these things.
-
-  Developers that use our General Public Licenses protect your rights
-with two steps: (1) assert copyright on the software, and (2) offer
-you this License which gives you legal permission to copy, distribute
-and/or modify the software.
-
-  A secondary benefit of defending all users' freedom is that
-improvements made in alternate versions of the program, if they
-receive widespread use, become available for other developers to
-incorporate.  Many developers of free software are heartened and
-encouraged by the resulting cooperation.  However, in the case of
-software used on network servers, this result may fail to come about.
-The GNU General Public License permits making a modified version and
-letting the public access it on a server without ever releasing its
-source code to the public.
-
-  The GNU Affero General Public License is designed specifically to
-ensure that, in such cases, the modified source code becomes available
-to the community.  It requires the operator of a network server to
-provide the source code of the modified version running there to the
-users of that server.  Therefore, public use of a modified version, on
-a publicly accessible server, gives the public access to the source
-code of the modified version.
-
-  An older license, called the Affero General Public License and
-published by Affero, was designed to accomplish similar goals.  This is
-a different license, not a version of the Affero GPL, but Affero has
-released a new version of the Affero GPL which permits relicensing under
-this license.
-
-  The precise terms and conditions for copying, distribution and
-modification follow.
-
-                       TERMS AND CONDITIONS
-
-  0. Definitions.
-
-  "This License" refers to version 3 of the GNU Affero General Public License.
-
-  "Copyright" also means copyright-like laws that apply to other kinds of
-works, such as semiconductor masks.
-
-  "The Program" refers to any copyrightable work licensed under this
-License.  Each licensee is addressed as "you".  "Licensees" and
-"recipients" may be individuals or organizations.
-
-  To "modify" a work means to copy from or adapt all or part of the work
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-  An interactive user interface displays "Appropriate Legal Notices"
-to the extent that it includes a convenient and prominently visible
-feature that (1) displays an appropriate copyright notice, and (2)
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-For more information on this, and how to apply and follow the GNU AGPL, see
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+                                 Apache License
+                           Version 2.0, January 2004
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+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
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+      file or class name and description of purpose be included on the
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+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
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+
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+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.md

@@ -1,46 +1,172 @@
-
 <p align="center">
-<img src="https://qchatgpt.rockchin.top/logo.png" alt="QChatGPT" width="180" />
-</p>
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
 <div align="center">
 
-# QChatGPT
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
 
-<a href="https://trendshift.io/repositories/6187" target="_blank"><img src="https://trendshift.io/api/badge/repositories/6187" alt="RockChinQ%2FQChatGPT | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+<h3>Production-grade platform for building agentic IM bots.</h3>
+<h4>Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more.</h4>
 
-[![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/QChatGPT)](https://github.com/RockChinQ/QChatGPT/releases/latest)
-<a href="https://hub.docker.com/repository/docker/rockchin/qchatgpt">
-    <img src="https://img.shields.io/docker/pulls/rockchin/qchatgpt?color=blue" alt="docker pull">
-  </a>
- ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=%E4%BD%BF%E7%94%A8%E9%87%8F%EF%BC%887%E6%97%A5%EF%BC%89)
-![Wakapi Count](https://wakapi.rockchin.top/api/badge/RockChinQ/interval:any/project:QChatGPT)
-<br/>
-<img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
-<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-purple">
-</a>
-<a href="https://qm.qq.com/q/PClALFK242">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-619154800-purple">
-</a>
-<a href="https://codecov.io/gh/RockChinQ/QChatGPT" > 
- <img src="https://codecov.io/gh/RockChinQ/QChatGPT/graph/badge.svg?token=pjxYIL2kbC"/> 
- </a>
- 
-## 使用文档
+English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
 
-<a href="https://qchatgpt.rockchin.top">项目主页</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/feature.html">功能介绍</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/deploy/">部署文档</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/error/">常见问题</a> ｜
-<a href="https://qchatgpt.rockchin.top/posts/plugin/intro.html">插件介绍</a> ｜
-<a href="https://github.com/RockChinQ/QChatGPT/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
 
-## 相关链接
+<a href="https://langbot.app">Website</a> ｜
+<a href="https://docs.langbot.app/en/insight/features">Features</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide">Docs</a> ｜
+<a href="https://docs.langbot.app/en/tags/readme">API</a> ｜
+<a href="https://space.langbot.app/cloud">Cloud</a> ｜
+<a href="https://space.langbot.app">Plugin Market</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Roadmap</a>
 
-<a href="https://github.com/RockChinQ/qcg-installer">安装器源码</a> ｜
-<a href="https://github.com/RockChinQ/qcg-tester">测试工程源码</a> ｜
-<a href="https://github.com/RockChinQ/qcg-center">遥测服务端源码</a> ｜
-<a href="https://github.com/the-lazy-me/QChatGPT-Wiki">官方文档储存库</a>
-
-<img alt="回复效果（带有联网插件）" src="https://qchatgpt.rockchin.top/assets/image/QChatGPT-0516.png" width="500px"/>
 </div>
+
+</p>
+
+---
+
+## What is LangBot?
+
+LangBot is an **open-source, production-grade platform** for building AI-powered instant messaging bots. It connects Large Language Models (LLMs) to any chat platform, enabling you to create intelligent agents that can converse, execute tasks, and integrate with your existing workflows.
+
+### Key Capabilities
+
+- **AI Conversations & Agents** — Multi-turn dialogues, tool calling, multi-modal support, streaming output. Built-in RAG (knowledge base) with deep integration to [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Universal IM Platform Support** — One codebase for Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Production-Ready** — Access control, rate limiting, sensitive word filtering, comprehensive monitoring, and exception handling. Trusted by enterprises.
+- **Plugin Ecosystem** — Hundreds of plugins, event-driven architecture, component extensions, and [MCP protocol](https://modelcontextprotocol.io/) support.
+- **Web Management Panel** — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
+- **Multi-Pipeline Architecture** — Different bots for different scenarios, with comprehensive monitoring and exception handling.
+
+[→ Learn more about all features](https://docs.langbot.app/en/insight/features)
+
+---
+
+## Quick Start
+
+### ☁️ LangBot Cloud (Recommended)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Zero deployment, ready to use.
+
+### One-Line Launch
+
+```bash
+uvx langbot
+```
+
+> Requires [uv](https://docs.astral.sh/uv/getting-started/installation/). Visit http://localhost:5300 — done.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### One-Click Cloud Deploy
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**More options:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Supported Platforms
+
+| Platform | Status | Notes |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Personal & Official API |
+| WeCom | ✅ | Enterprise WeChat, External CS, AI Bot |
+| WeChat | ✅ | Personal & Official Account |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## Supported LLMs & Integrations
+
+| Provider | Type | Status |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | Local LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | Local LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Protocol | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Gateway | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Gateway | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Gateway | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Gateway | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Gateway | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU Platform | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU Platform | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU Platform | ✅ |
+| [接口 AI](https://jiekou.ai/) | Gateway | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Gateway | ✅ |
+
+[→ View all integrations](https://docs.langbot.app/en/insight/features)
+
+---
+
+## Why LangBot?
+
+| Use Case | How LangBot Helps |
+|----------|-------------------|
+| **Customer Support** | Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base |
+| **Internal Tools** | Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes |
+| **Community Management** | Moderate QQ/Discord groups with AI-powered content filtering and interaction |
+| **Multi-Platform Presence** | One bot, all platforms. Manage from a single dashboard |
+
+---
+
+## Live Demo
+
+**Try it now:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Password: `langbot123456`
+
+*Note: Public demo environment. Do not enter sensitive information.*
+
+---
+
+## Community
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Discord Community](https://discord.gg/wdNEHETs87)
+
+---
+
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Contributors
+
+Thanks to all [contributors](https://github.com/langbot-app/LangBot/graphs/contributors) who have helped make LangBot better:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_CN.md

@@ -0,0 +1,195 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>生产级 AI 即时通信机器人开发平台。</h3>
+<h4>快速构建、调试和部署 AI 机器人到微信、QQ、飞书、Slack、Discord、Telegram 等平台。</h4>
+
+[English](README.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-1030838208-blue)](https://qm.qq.com/q/DxZZcNxM1W)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
+
+<a href="https://langbot.app">官网</a> ｜
+<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
+<a href="https://docs.langbot.app/zh/insight/guide.html">文档</a> ｜
+<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app/cloud">Cloud</a> ｜
+<a href="https://space.langbot.app">插件市场</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">路线图</a>
+
+</div>
+
+</p>
+
+---
+
+LangBot 是一个**开源的生产级平台**，用于构建 AI 驱动的即时通信机器人。它将大语言模型（LLM）连接到各种聊天平台，帮助你创建能够对话、执行任务、并集成到现有工作流程中的智能 Agent。
+
+### 核心能力
+
+- **AI 对话与 Agent** — 多轮对话、工具调用、多模态、流式输出。自带 RAG（知识库），深度集成 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
+- **全平台支持** — 一套代码，覆盖 QQ、微信、企业微信、飞书、钉钉、Discord、Telegram、Slack、LINE、KOOK 等平台。
+- **生产就绪** — 访问控制、限速、敏感词过滤、全面监控与异常处理，已被多家企业采用。
+- **插件生态** — 数百个插件，跨进程的事件驱动架构，组件扩展，适配 [MCP 协议](https://modelcontextprotocol.io/)。
+- **Web 管理面板** — 通过浏览器直观地配置、管理和监控机器人，无需手动编辑配置文件。
+- **多流水线架构** — 不同机器人用于不同场景，具备全面的监控和异常处理能力。
+
+[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
+
+---
+
+## 快速开始
+
+### ☁️ LangBot Cloud（推荐）
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — 免部署，开箱即用。
+
+### 一键启动
+
+```bash
+uvx langbot
+```
+
+> 需要安装 [uv](https://docs.astral.sh/uv/getting-started/installation/)。访问 http://localhost:5300 即可使用。
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### 一键云部署
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [宝塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 支持的平台
+
+| 平台 | 状态 | 备注 |
+|------|------|------|
+| QQ | ✅ | 个人号、官方机器人（频道、私聊、群聊） |
+| 微信 | ✅ | 个人微信、微信公众号 |
+| 企业微信 | ✅ | 应用消息、对外客服、智能机器人 |
+| 飞书 | ✅ |  |
+| 钉钉 | ✅ |  |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| KOOK | ✅ |  |
+
+---
+
+## 支持的大模型与集成
+
+| 提供商 | 类型 | 状态 |
+|--------|------|------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [智谱AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | 本地 LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | 本地 LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | 协议 | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | 聚合平台 | ✅ |
+| [阿里云百炼](https://bailian.console.aliyun.com/) | 聚合平台 | ✅ |
+| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 聚合平台 | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 聚合平台 | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | 聚合平台 | ✅ |
+| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 平台 | ✅ |
+| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
+| [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
+| [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
+| [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |
+
+[→ 查看完整集成列表](https://docs.langbot.app/zh/insight/features.html)
+
+### TTS（语音合成）
+
+| 平台/模型 | 备注 |
+|-----------|------|
+| [FishAudio](https://fish.audio/zh-CN/discovery/) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
+| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
+| [AzureTTS](https://portal.azure.com/) | [插件](https://github.com/Ingnaryk/LangBot_AzureTTS) |
+
+### 文生图
+
+| 平台/模型 | 备注 |
+|-----------|------|
+| 阿里云百炼 | [插件](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |
+
+---
+
+## 为什么选择 LangBot？
+
+| 使用场景 | LangBot 如何帮助 |
+|----------|------------------|
+| **客户服务** | 将 AI Agent 部署到微信/企微/钉钉/飞书，基于知识库自动回答用户问题 |
+| **内部工具** | 将 n8n/Dify 工作流接入企微/钉钉，实现业务流程自动化 |
+| **社群运营** | 在 QQ/Discord 群中使用 AI 驱动的内容审核与智能互动 |
+| **多平台触达** | 一个机器人，覆盖所有平台。通过统一面板集中管理 |
+
+---
+
+## 在线演示
+
+**立即体验：** https://demo.langbot.dev/
+- 邮箱：`demo@langbot.app`
+- 密码：`langbot123456`
+
+*注意：公开演示环境，请不要在其中填入任何敏感信息。*
+
+---
+
+## 社区
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-1030838208-blue)](https://qm.qq.com/q/DxZZcNxM1W)
+
+- [Discord 社区](https://discord.gg/wdNEHETs87)
+- [QQ 社区群](https://qm.qq.com/q/DxZZcNxM1W)
+
+---
+
+## Star 趋势
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## 贡献者
+
+感谢所有[贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)对 LangBot 的帮助：
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>
+
+<!--
+## For Code Agents
+
+If you're a code agent based on LLM, you should read [AGENTS.md](AGENTS.md) to understand the project structure and development process before you start any development.
+-->

README_ES.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Plataforma de grado de producción para construir bots de mensajería instantánea con agentes de IA.</h3>
+<h4>Construya, depure y despliegue bots de IA rápidamente en Slack, Discord, Telegram, WeChat y más.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / Español / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Inicio</a> ｜
+<a href="https://docs.langbot.app/en/insight/features.html">Características</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Documentación</a> ｜
+<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app">Mercado de Plugins</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Hoja de Ruta</a>
+
+</div>
+
+</p>
+
+---
+
+## ¿Qué es LangBot?
+
+LangBot es una **plataforma de código abierto y grado de producción** para construir bots de mensajería instantánea impulsados por IA. Conecta modelos de lenguaje de gran escala (LLMs) con cualquier plataforma de chat, permitiéndole crear agentes inteligentes que pueden conversar, ejecutar tareas e integrarse con sus flujos de trabajo existentes.
+
+### Capacidades Clave
+
+- **Conversaciones e Agentes IA** — Diálogos de múltiples turnos, llamadas a herramientas, soporte multimodal, salida en streaming. RAG (base de conocimientos) incorporado con integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Soporte Universal de Plataformas de MI** — Un solo código base para Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Listo para Producción** — Control de acceso, limitación de velocidad, filtrado de palabras sensibles, monitoreo completo y manejo de excepciones. De confianza para empresas.
+- **Ecosistema de Plugins** — Cientos de plugins, arquitectura basada en eventos, extensiones de componentes y soporte del [protocolo MCP](https://modelcontextprotocol.io/).
+- **Panel de Gestión Web** — Configure, gestione y monitoree sus bots a través de una interfaz de navegador intuitiva. Sin necesidad de editar YAML.
+- **Arquitectura Multi-Pipeline** — Diferentes bots para diferentes escenarios, con monitoreo completo y manejo de excepciones.
+
+[→ Conocer más sobre todas las funcionalidades](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## Inicio Rápido
+
+### ☁️ LangBot Cloud (Recomendado)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Sin despliegue, listo para usar.
+
+### Lanzamiento en una línea
+
+```bash
+uvx langbot
+```
+
+> Requiere [uv](https://docs.astral.sh/uv/getting-started/installation/). Visite http://localhost:5300 — listo.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Despliegue en la Nube con un Clic
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Más opciones:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Plataformas Soportadas
+
+| Plataforma | Estado | Notas |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Personal y API Oficial |
+| WeCom | ✅ | WeChat Empresarial, CS Externo, AI Bot |
+| WeChat | ✅ | Personal y Cuenta Oficial |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## LLMs e Integraciones Soportadas
+
+| Proveedor | Tipo | Estado |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | LLM Local | ✅ |
+| [LM Studio](https://lmstudio.ai/) | LLM Local | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Protocolo | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Pasarela | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Pasarela | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Pasarela | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Pasarela | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Pasarela | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plataforma GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plataforma GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plataforma GPU | ✅ |
+| [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |
+
+[→ Ver todas las integraciones](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## ¿Por qué LangBot?
+
+| Caso de Uso | Cómo Ayuda LangBot |
+|----------|-------------------|
+| **Atención al cliente** | Despliegue agentes de IA en Slack/Discord/Telegram que respondan preguntas usando su base de conocimientos |
+| **Herramientas internas** | Conecte flujos de trabajo de n8n/Dify a WeCom/DingTalk para procesos empresariales automatizados |
+| **Gestión de comunidades** | Modere grupos de QQ/Discord con filtrado de contenido e interacción impulsados por IA |
+| **Presencia multiplataforma** | Un solo bot, todas las plataformas. Gestione desde un único panel de control |
+
+---
+
+## Demo en Vivo
+
+**Pruébelo ahora:** https://demo.langbot.dev/
+- Correo electrónico: `demo@langbot.app`
+- Contraseña: `langbot123456`
+
+*Nota: Entorno de demostración público. No ingrese información confidencial.*
+
+---
+
+## Comunidad
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Comunidad de Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## Historial de Stars
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Colaboradores
+
+Gracias a todos los [colaboradores](https://github.com/langbot-app/LangBot/graphs/contributors) que han ayudado a mejorar LangBot:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_FR.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Plateforme de niveau production pour construire des bots de messagerie instantanée avec agents IA.</h3>
+<h4>Créez, déboguez et déployez rapidement des bots IA sur Slack, Discord, Telegram, WeChat et plus.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / Français / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Accueil</a> ｜
+<a href="https://docs.langbot.app/en/insight/features.html">Fonctionnalités</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Documentation</a> ｜
+<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app">Marché des Plugins</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Feuille de Route</a>
+
+</div>
+
+</p>
+
+---
+
+## Qu'est-ce que LangBot ?
+
+LangBot est une **plateforme open-source de niveau production** pour créer des bots de messagerie instantanée alimentés par l'IA. Elle connecte les grands modèles de langage (LLMs) à n'importe quelle plateforme de chat, vous permettant de créer des agents intelligents capables de converser, d'exécuter des tâches et de s'intégrer à vos workflows existants.
+
+### Capacités Clés
+
+- **Conversations IA & Agents** — Dialogues multi-tours, appels d'outils, support multimodal, sortie en streaming. RAG (base de connaissances) intégré avec intégration profonde de [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Support Universel des Plateformes de MI** — Un seul code pour Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Prêt pour la Production** — Contrôle d'accès, limitation de débit, filtrage de mots sensibles, surveillance complète et gestion des exceptions. Approuvé par les entreprises.
+- **Écosystème de Plugins** — Des centaines de plugins, architecture événementielle, extensions de composants, et support du [protocole MCP](https://modelcontextprotocol.io/).
+- **Panneau de Gestion Web** — Configurez, gérez et surveillez vos bots via une interface navigateur intuitive. Aucune édition de YAML requise.
+- **Architecture Multi-Pipeline** — Différents bots pour différents scénarios, avec surveillance complète et gestion des exceptions.
+
+[→ En savoir plus sur toutes les fonctionnalités](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## Démarrage Rapide
+
+### ☁️ LangBot Cloud (Recommandé)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Sans déploiement, prêt à utiliser.
+
+### Lancement en une ligne
+
+```bash
+uvx langbot
+```
+
+> Nécessite [uv](https://docs.astral.sh/uv/getting-started/installation/). Visitez http://localhost:5300 — c'est prêt.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Déploiement Cloud en un Clic
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Plus d'options :** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Plateformes Supportées
+
+| Plateforme | Statut | Notes |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Personnel & API Officielle |
+| WeCom | ✅ | WeChat Entreprise, CS Externe, AI Bot |
+| WeChat | ✅ | Personnel & Compte Officiel |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## LLMs et Intégrations Supportés
+
+| Fournisseur | Type | Statut |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | LLM Local | ✅ |
+| [LM Studio](https://lmstudio.ai/) | LLM Local | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Protocole | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Passerelle | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Passerelle | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Passerelle | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Passerelle | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Passerelle | ✅ |
+| [接口 AI](https://jiekou.ai/) | Passerelle | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Passerelle | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plateforme GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plateforme GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |
+
+[→ Voir toutes les intégrations](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## Pourquoi LangBot ?
+
+| Cas d'Usage | Comment LangBot Aide |
+|----------|-------------------|
+| **Support Client** | Déployez des agents IA sur Slack/Discord/Telegram qui répondent aux questions en utilisant votre base de connaissances |
+| **Outils Internes** | Connectez les workflows n8n/Dify à WeCom/DingTalk pour automatiser vos processus métier |
+| **Gestion de Communauté** | Modérez les groupes QQ/Discord avec un filtrage de contenu et des interactions alimentés par l'IA |
+| **Présence Multi-plateforme** | Un seul bot, toutes les plateformes. Gérez tout depuis un tableau de bord unique |
+
+---
+
+## Démo en Ligne
+
+**Essayez maintenant :** https://demo.langbot.dev/
+- Email : `demo@langbot.app`
+- Mot de passe : `langbot123456`
+
+*Note : Environnement de démonstration public. Ne saisissez pas d'informations sensibles.*
+
+---
+
+## Communauté
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Communauté Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## Historique des Stars
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Contributeurs
+
+Merci à tous les [contributeurs](https://github.com/langbot-app/LangBot/graphs/contributors) qui ont aidé à améliorer LangBot :
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_JP.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>AIエージェント搭載IMボットを構築するための本番グレードプラットフォーム。</h3>
+<h4>Slack、Discord、Telegram、WeChat などに AI ボットを素早く構築、デバッグ、デプロイ。</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / 日本語 / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">ホーム</a> ｜
+<a href="https://docs.langbot.app/ja/insight/features.html">機能</a> ｜
+<a href="https://docs.langbot.app/ja/insight/guide.html">ドキュメント</a> ｜
+<a href="https://docs.langbot.app/ja/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app">プラグインマーケット</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">ロードマップ</a>
+
+</div>
+
+</p>
+
+---
+
+## LangBot とは？
+
+LangBot は、AI搭載のインスタントメッセージングボットを構築するための**オープンソースの本番グレードプラットフォーム**です。大規模言語モデル（LLM）をあらゆるチャットプラットフォームに接続し、会話、タスク実行、既存のワークフローとの統合が可能なインテリジェントエージェントを作成できます。
+
+### 主な機能
+
+- **AI対話とエージェント** — マルチターン対話、ツール呼び出し、マルチモーダル対応、ストリーミング出力。RAG（ナレッジベース）を内蔵し、[Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) と深く統合。
+- **ユニバーサルIMプラットフォーム対応** — 単一のコードベースで Discord、Telegram、Slack、LINE、QQ、WeChat、WeCom、Lark、DingTalk、KOOK に対応。
+- **本番環境対応** — アクセス制御、レート制限、センシティブワードフィルタリング、包括的な監視、例外処理を搭載。エンタープライズの信頼に応える品質。
+- **プラグインエコシステム** — 数百のプラグイン、イベント駆動アーキテクチャ、コンポーネント拡張、[MCPプロトコル](https://modelcontextprotocol.io/)対応。
+- **Web管理パネル** — 直感的なブラウザインターフェースからボットの設定、管理、監視が可能。YAML編集は不要。
+- **マルチパイプラインアーキテクチャ** — 異なるシナリオに異なるボットを配置し、包括的な監視と例外処理を実現。
+
+[→ すべての機能について詳しく見る](https://docs.langbot.app/ja/insight/features.html)
+
+---
+
+## クイックスタート
+
+### ☁️ LangBot Cloud（推奨）
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — デプロイ不要、すぐに使えます。
+
+### ワンライン起動
+
+```bash
+uvx langbot
+```
+
+> [uv](https://docs.astral.sh/uv/getting-started/installation/) が必要です。http://localhost:5300 にアクセスして完了。
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### ワンクリッククラウドデプロイ
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**その他:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 対応プラットフォーム
+
+| プラットフォーム | ステータス | 備考 |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | 個人 & 公式API |
+| WeCom | ✅ | 企業WeChat、外部CS、AIボット |
+| WeChat | ✅ | 個人 & 公式アカウント |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## 対応LLMと統合
+
+| プロバイダー | タイプ | ステータス |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | ローカルLLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | ローカルLLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | プロトコル | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | ゲートウェイ | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ゲートウェイ | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ゲートウェイ | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ゲートウェイ | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | ゲートウェイ | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPUプラットフォーム | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPUプラットフォーム | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPUプラットフォーム | ✅ |
+| [接口 AI](https://jiekou.ai/) | ゲートウェイ | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | ゲートウェイ | ✅ |
+
+[→ すべての統合を表示](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## なぜ LangBot？
+
+| ユースケース | LangBot の活用方法 |
+|----------|-------------------|
+| **カスタマーサポート** | ナレッジベースを活用して質問に回答するAIエージェントをSlack/Discord/Telegramにデプロイ |
+| **社内ツール** | n8n/Difyのワークフローを WeCom/DingTalk に接続し、業務プロセスを自動化 |
+| **コミュニティ管理** | AI搭載のコンテンツフィルタリングとインタラクションでQQ/Discordグループをモデレーション |
+| **マルチプラットフォーム展開** | 1つのボットで全プラットフォームに対応。単一のダッシュボードから管理 |
+
+---
+
+## ライブデモ
+
+**今すぐ試す:** https://demo.langbot.dev/
+- メール: `demo@langbot.app`
+- パスワード: `langbot123456`
+
+*注意: 公開デモ環境です。機密情報を入力しないでください。*
+
+---
+
+## コミュニティ
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Discord コミュニティ](https://discord.gg/wdNEHETs87)
+
+---
+
+## Star 推移
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## コントリビューター
+
+LangBot をより良くするために貢献してくださったすべての[コントリビューター](https://github.com/langbot-app/LangBot/graphs/contributors)に感謝します:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_KO.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>AI 에이전트 IM 봇 구축을 위한 프로덕션 등급 플랫폼.</h3>
+<h4>Slack, Discord, Telegram, WeChat 등에 AI 봇을 빠르게 구축, 디버그 및 배포.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / 한국어 / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">홈</a> ｜
+<a href="https://docs.langbot.app/en/insight/features.html">기능</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">문서</a> ｜
+<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app">플러그인 마켓</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">로드맵</a>
+
+</div>
+
+</p>
+
+---
+
+## LangBot이란?
+
+LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈소스 프로덕션 등급 플랫폼**입니다. 대규모 언어 모델(LLM)을 모든 채팅 플랫폼에 연결하여 대화, 작업 실행, 기존 워크플로우와의 통합이 가능한 지능형 에이전트를 만들 수 있습니다.
+
+### 핵심 기능
+
+- **AI 대화 및 에이전트** — 멀티턴 대화, 도구 호출, 멀티모달 지원, 스트리밍 출력. 내장 RAG(지식 베이스)와 [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org) 심층 통합.
+- **유니버설 IM 플랫폼 지원** — 단일 코드베이스로 Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK 지원.
+- **프로덕션 레디** — 접근 제어, 속도 제한, 민감어 필터링, 종합 모니터링 및 예외 처리. 기업 환경에서 검증됨.
+- **플러그인 생태계** — 수백 개의 플러그인, 이벤트 기반 아키텍처, 컴포넌트 확장, [MCP 프로토콜](https://modelcontextprotocol.io/) 지원.
+- **웹 관리 패널** — 직관적인 브라우저 인터페이스로 봇을 구성, 관리 및 모니터링. YAML 편집 불필요.
+- **멀티 파이프라인 아키텍처** — 다양한 시나리오에 맞는 다양한 봇 구성, 종합 모니터링 및 예외 처리.
+
+[→ 모든 기능 자세히 보기](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## 빠른 시작
+
+### ☁️ LangBot Cloud (추천)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — 배포 없이 바로 사용.
+
+### 원라인 실행
+
+```bash
+uvx langbot
+```
+
+> [uv](https://docs.astral.sh/uv/getting-started/installation/) 설치 필요. http://localhost:5300 방문 — 완료.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### 원클릭 클라우드 배포
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**더 많은 옵션:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 지원 플랫폼
+
+| 플랫폼 | 상태 | 비고 |
+|--------|------|------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | 개인 및 공식 API |
+| WeCom | ✅ | 기업 WeChat, 외부 CS, AI Bot |
+| WeChat | ✅ | 개인 및 공식 계정 |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## 지원 LLM 및 통합
+
+| 제공자 | 유형 | 상태 |
+|--------|------|------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | 로컬 LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | 로컬 LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | 프로토콜 | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | 게이트웨이 | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | 게이트웨이 | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 게이트웨이 | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 게이트웨이 | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | 게이트웨이 | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 플랫폼 | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 플랫폼 | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 플랫폼 | ✅ |
+| [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | 게이트웨이 | ✅ |
+
+[→ 모든 통합 보기](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## 왜 LangBot인가?
+
+| 사용 사례 | LangBot 활용 방법 |
+|-----------|-------------------|
+| **고객 지원** | 지식 베이스를 활용하여 질문에 답변하는 AI 에이전트를 Slack/Discord/Telegram에 배포 |
+| **내부 도구** | n8n/Dify 워크플로우를 WeCom/DingTalk에 연결하여 비즈니스 프로세스 자동화 |
+| **커뮤니티 관리** | AI 기반 콘텐츠 필터링 및 상호작용으로 QQ/Discord 그룹 관리 |
+| **멀티 플랫폼** | 하나의 봇으로 모든 플랫폼 지원. 단일 대시보드에서 관리 |
+
+---
+
+## 라이브 데모
+
+**지금 체험:** https://demo.langbot.dev/
+- 이메일: `demo@langbot.app`
+- 비밀번호: `langbot123456`
+
+*참고: 공개 데모 환경입니다. 민감한 정보를 입력하지 마세요.*
+
+---
+
+## 커뮤니티
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Discord 커뮤니티](https://discord.gg/wdNEHETs87)
+
+---
+
+## Star 추이
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## 기여자
+
+LangBot을 더 나은 프로젝트로 만들어 주신 모든 [기여자](https://github.com/langbot-app/LangBot/graphs/contributors)분들께 감사드립니다:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_RU.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Платформа производственного уровня для создания агентных IM-ботов.</h3>
+<h4>Быстро создавайте, отлаживайте и развертывайте ИИ-ботов в Slack, Discord, Telegram, WeChat и других платформах.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / Русский / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Главная</a> ｜
+<a href="https://docs.langbot.app/en/insight/features.html">Возможности</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Документация</a> ｜
+<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app">Магазин плагинов</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Дорожная карта</a>
+
+</div>
+
+</p>
+
+---
+
+## Что такое LangBot?
+
+LangBot — это **платформа с открытым исходным кодом производственного уровня** для создания ИИ-ботов в мессенджерах. Она связывает большие языковые модели (LLM) с любой чат-платформой, позволяя создавать интеллектуальных агентов, которые могут вести диалоги, выполнять задачи и интегрироваться с вашими существующими рабочими процессами.
+
+### Ключевые возможности
+
+- **ИИ-диалоги и агенты** — Многораундовые диалоги, вызов инструментов, мультимодальная поддержка, потоковый вывод. Встроенная реализация RAG (база знаний) с глубокой интеграцией в [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Универсальная поддержка IM-платформ** — Единая кодовая база для Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Готовность к продакшену** — Контроль доступа, ограничение скорости, фильтрация чувствительных слов, комплексный мониторинг и обработка исключений. Проверено в корпоративной среде.
+- **Экосистема плагинов** — Сотни плагинов, событийно-ориентированная архитектура, расширения компонентов и поддержка [протокола MCP](https://modelcontextprotocol.io/).
+- **Веб-панель управления** — Настраивайте, управляйте и мониторьте ваших ботов через интуитивный браузерный интерфейс. Ручное редактирование YAML не требуется.
+- **Мультиконвейерная архитектура** — Разные боты для разных сценариев с комплексным мониторингом и обработкой исключений.
+
+[→ Подробнее обо всех возможностях](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## Быстрый старт
+
+### ☁️ LangBot Cloud (Рекомендуется)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Без развёртывания, готово к использованию.
+
+### Запуск одной командой
+
+```bash
+uvx langbot
+```
+
+> Требуется [uv](https://docs.astral.sh/uv/getting-started/installation/). Откройте http://localhost:5300 — готово.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Облачное развертывание одним кликом
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Другие варианты:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Ручная установка](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Поддерживаемые платформы
+
+| Платформа | Статус | Примечания |
+|-----------|--------|------------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Личный и официальный API |
+| WeCom | ✅ | Корпоративный WeChat, внешний CS, AI-бот |
+| WeChat | ✅ | Личный и официальный аккаунт |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## Поддерживаемые LLM и интеграции
+
+| Провайдер | Тип | Статус |
+|-----------|-----|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | Локальный LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | Локальный LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Протокол | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Шлюз | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Шлюз | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Шлюз | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Шлюз | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Шлюз | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Шлюз | ✅ |
+| [接口 AI](https://jiekou.ai/) | Шлюз | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Платформа GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Платформа GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Платформа GPU | ✅ |
+
+[→ Смотреть все интеграции](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## Почему LangBot?
+
+| Сценарий использования | Как помогает LangBot |
+|------------------------|----------------------|
+| **Поддержка клиентов** | Разверните ИИ-агентов в Slack/Discord/Telegram, которые отвечают на вопросы, используя вашу базу знаний |
+| **Внутренние инструменты** | Подключите рабочие процессы n8n/Dify к WeCom/DingTalk для автоматизации бизнес-процессов |
+| **Управление сообществом** | Модерируйте группы QQ/Discord с помощью ИИ-фильтрации контента и взаимодействия |
+| **Мультиплатформенное присутствие** | Один бот — все платформы. Управляйте из единой панели |
+
+---
+
+## Демо
+
+**Попробуйте прямо сейчас:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Пароль: `langbot123456`
+
+*Примечание: Публичная демо-среда. Не вводите конфиденциальную информацию.*
+
+---
+
+## Сообщество
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Сообщество Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## История Stars
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Участники
+
+Спасибо всем [участникам](https://github.com/langbot-app/LangBot/graphs/contributors), которые помогли сделать LangBot лучше:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_TW.md

@@ -0,0 +1,189 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>生產級 AI 即時通訊機器人開發平台。</h3>
+<h4>快速建構、除錯和部署 AI 機器人到微信、QQ、飛書、Slack、Discord、Telegram 等平台。</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / 繁體中文 / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-966235608-blue)](https://qm.qq.com/q/JLi38whHum)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
+
+<a href="https://langbot.app">官網</a> ｜
+<a href="https://docs.langbot.app/zh/insight/features.html">特性</a> ｜
+<a href="https://docs.langbot.app/zh/insight/guide.html">文件</a> ｜
+<a href="https://docs.langbot.app/zh/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app">外掛市場</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">路線圖</a>
+
+</div>
+
+</p>
+
+---
+
+## 什麼是 LangBot？
+
+LangBot 是一個**開源的生產級平台**，用於建構 AI 驅動的即時通訊機器人。它將大語言模型（LLM）連接到各種聊天平台，幫助你創建能夠對話、執行任務、並整合到現有工作流程中的智能 Agent。
+
+### 核心能力
+
+- **AI 對話與 Agent** — 多輪對話、工具調用、多模態、流式輸出。自帶 RAG（知識庫），深度整合 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
+- **全平台支援** — 一套程式碼，覆蓋 QQ、微信、企業微信、飛書、釘釘、Discord、Telegram、Slack、LINE、KOOK 等平台。
+- **生產就緒** — 存取控制、限速、敏感詞過濾、全面監控與異常處理，已被多家企業採用。
+- **外掛生態** — 數百個外掛，事件驅動架構，組件擴展，適配 [MCP 協議](https://modelcontextprotocol.io/)。
+- **Web 管理面板** — 透過瀏覽器直觀地配置、管理和監控機器人，無需手動編輯設定檔。
+- **多流水線架構** — 不同機器人用於不同場景，具備全面的監控和異常處理能力。
+
+[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
+
+---
+
+## 快速開始
+
+### ☁️ LangBot Cloud（推薦）
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — 免部署，開箱即用。
+
+### 一鍵啟動
+
+```bash
+uvx langbot
+```
+
+> 需要安裝 [uv](https://docs.astral.sh/uv/getting-started/installation/)。訪問 http://localhost:5300 即可使用。
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### 一鍵雲端部署
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**更多方式：** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [寶塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## 支援的平台
+
+| 平台 | 狀態 | 備註 |
+|------|------|------|
+| QQ | ✅ | 個人號、官方機器人（頻道、私聊、群聊） |
+| 微信 | ✅ | 個人微信、微信公眾號 |
+| 企業微信 | ✅ | 應用訊息、對外客服、智能機器人 |
+| 飛書 | ✅ |  |
+| 釘釘 | ✅ |  |
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## 支援的大模型與整合
+
+| 提供商 | 類型 | 狀態 |
+|--------|------|------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [智譜AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | 本地 LLM | ✅ |
+| [LM Studio](https://lmstudio.ai/) | 本地 LLM | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | 協議 | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | 聚合平台 | ✅ |
+| [阿里雲百煉](https://bailian.console.aliyun.com/) | 聚合平台 | ✅ |
+| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | 聚合平台 | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | 聚合平台 | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | 聚合平台 | ✅ |
+| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 平台 | ✅ |
+| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU 平台 | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
+| [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
+
+### TTS（語音合成）
+
+| 平台/模型 | 備註 |
+|-----------|------|
+| [FishAudio](https://fish.audio/zh-CN/discovery/) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
+| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
+| [AzureTTS](https://portal.azure.com/) | [外掛](https://github.com/Ingnaryk/LangBot_AzureTTS) |
+
+### 文生圖
+
+| 平台/模型 | 備註 |
+|-----------|------|
+| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |
+
+[→ 查看完整整合列表](https://docs.langbot.app/zh/insight/features.html)
+
+---
+
+## 為什麼選擇 LangBot？
+
+| 使用場景 | LangBot 如何幫助 |
+|----------|------------------|
+| **客戶服務** | 將 AI Agent 部署到微信/企微/釘釘/飛書，基於知識庫自動回答使用者問題 |
+| **內部工具** | 將 n8n/Dify 工作流接入企微/釘釘，實現業務流程自動化 |
+| **社群運營** | 在 QQ/Discord 群中使用 AI 驅動的內容審核與智能互動 |
+| **多平台觸達** | 一個機器人，覆蓋所有平台。透過統一面板集中管理 |
+
+---
+
+## 線上演示
+
+**立即體驗：** https://demo.langbot.dev/
+- 信箱：`demo@langbot.app`
+- 密碼：`langbot123456`
+
+*注意：公開演示環境，請不要在其中填入任何敏感資訊。*
+
+---
+
+## 社群
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+[![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-966235608-blue)](https://qm.qq.com/q/JLi38whHum)
+
+- [Discord 社群](https://discord.gg/wdNEHETs87)
+- [QQ 社群群](https://qm.qq.com/q/JLi38whHum)
+
+---
+
+## Star 趨勢
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## 貢獻者
+
+感謝所有[貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)對 LangBot 的幫助：
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

README_VI.md

@@ -0,0 +1,171 @@
+<p align="center">
+<a href="https://langbot.app">
+<img width="130" src="res/logo-blue.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production&#0045;grade&#0032;IM&#0032;bot&#0032;made&#0032;easy&#0046; | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+<h3>Nền tảng cấp sản xuất để xây dựng bot IM với AI agent.</h3>
+<h4>Xây dựng, gỡ lỗi và triển khai bot AI nhanh chóng trên Slack, Discord, Telegram, WeChat và nhiều nền tảng khác.</h4>
+
+[English](README.md) / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / Tiếng Việt
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/langbot-app/LangBot)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/langbot-app/LangBot)](https://github.com/langbot-app/LangBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
+[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
+
+<a href="https://langbot.app">Trang chủ</a> ｜
+<a href="https://docs.langbot.app/en/insight/features.html">Tính năng</a> ｜
+<a href="https://docs.langbot.app/en/insight/guide.html">Tài liệu</a> ｜
+<a href="https://docs.langbot.app/en/tags/readme.html">API</a> ｜
+<a href="https://space.langbot.app">Chợ Plugin</a> ｜
+<a href="https://langbot.featurebase.app/roadmap">Lộ trình</a>
+
+</div>
+
+</p>
+
+---
+
+## LangBot là gì?
+
+LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để xây dựng bot nhắn tin tức thời được hỗ trợ bởi AI. Nó kết nối các Mô hình Ngôn ngữ Lớn (LLM) với bất kỳ nền tảng chat nào, cho phép bạn tạo các agent thông minh có thể trò chuyện, thực hiện tác vụ và tích hợp với quy trình làm việc hiện có của bạn.
+
+### Khả năng chính
+
+- **Hội thoại AI & Agent** — Đối thoại nhiều lượt, gọi công cụ, hỗ trợ đa phương thức, đầu ra streaming. RAG (cơ sở kiến thức) tích hợp sẵn với tích hợp sâu vào [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io), [Langflow](https://langflow.org).
+- **Hỗ trợ đa nền tảng IM** — Một mã nguồn cho Discord, Telegram, Slack, LINE, QQ, WeChat, WeCom, Lark, DingTalk, KOOK.
+- **Sẵn sàng cho sản xuất** — Kiểm soát truy cập, giới hạn tốc độ, lọc từ nhạy cảm, giám sát toàn diện và xử lý ngoại lệ. Được doanh nghiệp tin dùng.
+- **Hệ sinh thái Plugin** — Hàng trăm plugin, kiến trúc hướng sự kiện, mở rộng thành phần, và hỗ trợ [giao thức MCP](https://modelcontextprotocol.io/).
+- **Bảng quản lý Web** — Cấu hình, quản lý và giám sát bot thông qua giao diện trình duyệt trực quan. Không cần chỉnh sửa YAML.
+- **Kiến trúc đa Pipeline** — Các bot khác nhau cho các kịch bản khác nhau, với giám sát toàn diện và xử lý ngoại lệ.
+
+[→ Tìm hiểu thêm về tất cả tính năng](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## Bắt đầu nhanh
+
+### ☁️ LangBot Cloud (Khuyên dùng)
+
+**[LangBot Cloud](https://space.langbot.app/cloud)** — Không cần triển khai, sẵn sàng sử dụng.
+
+### Khởi chạy một dòng
+
+```bash
+uvx langbot
+```
+
+> Yêu cầu [uv](https://docs.astral.sh/uv/getting-started/installation/). Truy cập http://localhost:5300 — xong.
+
+### Docker Compose
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+docker compose up -d
+```
+
+### Triển khai đám mây một cú nhấp
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+**Thêm tùy chọn:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
+
+---
+
+## Nền tảng được hỗ trợ
+
+| Nền tảng | Trạng thái | Ghi chú |
+|----------|--------|-------|
+| Discord | ✅ |  |
+| Telegram | ✅ |  |
+| Slack | ✅ |  |
+| LINE | ✅ |  |
+| QQ | ✅ | Cá nhân & API chính thức |
+| WeCom | ✅ | WeChat doanh nghiệp, CS bên ngoài, AI Bot |
+| WeChat | ✅ | Cá nhân & Tài khoản công khai |
+| Lark | ✅ |  |
+| DingTalk | ✅ |  |
+| KOOK | ✅ |  |
+| Satori | ✅ |  |
+
+---
+
+## LLM và tích hợp được hỗ trợ
+
+| Nhà cung cấp | Loại | Trạng thái |
+|----------|------|--------|
+| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
+| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
+| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
+| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
+| [xAI](https://x.ai/) | LLM | ✅ |
+| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
+| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
+| [Ollama](https://ollama.com/) | LLM cục bộ | ✅ |
+| [LM Studio](https://lmstudio.ai/) | LLM cục bộ | ✅ |
+| [Dify](https://dify.ai) | LLMOps | ✅ |
+| [MCP](https://modelcontextprotocol.io/) | Giao thức | ✅ |
+| [SiliconFlow](https://siliconflow.cn/) | Cổng | ✅ |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Cổng | ✅ |
+| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Cổng | ✅ |
+| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Cổng | ✅ |
+| [GiteeAI](https://ai.gitee.com/) | Cổng | ✅ |
+| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Nền tảng GPU | ✅ |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Nền tảng GPU | ✅ |
+| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Nền tảng GPU | ✅ |
+| [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
+| [302.AI](https://share.302.ai/SuTG99) | Cổng | ✅ |
+
+[→ Xem tất cả tích hợp](https://docs.langbot.app/en/insight/features.html)
+
+---
+
+## Tại sao chọn LangBot?
+
+| Trường hợp sử dụng | LangBot giúp như thế nào |
+|----------|-------------------|
+| **Hỗ trợ khách hàng** | Triển khai agent AI trên Slack/Discord/Telegram để trả lời câu hỏi bằng cơ sở kiến thức của bạn |
+| **Công cụ nội bộ** | Kết nối quy trình n8n/Dify với WeCom/DingTalk để tự động hóa quy trình kinh doanh |
+| **Quản lý cộng đồng** | Quản lý nhóm QQ/Discord với tính năng lọc nội dung và tương tác được hỗ trợ bởi AI |
+| **Đa nền tảng** | Một bot, tất cả nền tảng. Quản lý từ một bảng điều khiển duy nhất |
+
+---
+
+## Demo trực tuyến
+
+**Thử ngay:** https://demo.langbot.dev/
+- Email: `demo@langbot.app`
+- Mật khẩu: `langbot123456`
+
+*Lưu ý: Môi trường demo công khai. Không nhập thông tin nhạy cảm.*
+
+---
+
+## Cộng đồng
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&label=Discord)](https://discord.gg/wdNEHETs87)
+
+- [Cộng đồng Discord](https://discord.gg/wdNEHETs87)
+
+---
+
+## Lịch sử Star
+
+[![Star History Chart](https://api.star-history.com/svg?repos=langbot-app/LangBot&type=Date)](https://star-history.com/#langbot-app/LangBot&Date)
+
+---
+
+## Người đóng góp
+
+Cảm ơn tất cả [người đóng góp](https://github.com/langbot-app/LangBot/graphs/contributors) đã giúp LangBot trở nên tốt hơn:
+
+<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
+</a>

codecov.yml

@@ -0,0 +1,4 @@
+coverage:
+  status:
+    project: off
+    patch: off

docker-compose.yaml

@@ -1,10 +0,0 @@
-version: "3"
-
-services:
-  qchatgpt:
-    image: rockchin/qchatgpt:latest
-    volumes:
-      - ./data:/app/data
-      - ./plugins:/app/plugins
-    restart: on-failure
-    # 根据具体环境配置网络

docker/README_K8S.md

@@ -0,0 +1,629 @@
+# LangBot Kubernetes 部署指南 / Kubernetes Deployment Guide
+
+[简体中文](#简体中文) | [English](#english)
+
+---
+
+## 简体中文
+
+### 概述
+
+本指南提供了在 Kubernetes 集群中部署 LangBot 的完整步骤。Kubernetes 部署配置基于 `docker-compose.yaml`，适用于生产环境的容器化部署。
+
+### 前置要求
+
+- Kubernetes 集群（版本 1.19+）
+- `kubectl` 命令行工具已配置并可访问集群
+- 集群中有可用的存储类（StorageClass）用于持久化存储（可选但推荐）
+- 至少 2 vCPU 和 4GB RAM 的可用资源
+
+### 架构说明
+
+Kubernetes 部署包含以下组件：
+
+1. **langbot**: 主应用服务
+   - 提供 Web UI（端口 5300）
+   - 处理平台 webhook（端口 2280-2290）
+   - 数据持久化卷
+   
+2. **langbot-plugin-runtime**: 插件运行时服务
+   - WebSocket 通信（端口 5400）
+   - 插件数据持久化卷
+
+3. **持久化存储**:
+   - `langbot-data`: LangBot 主数据
+   - `langbot-plugins`: 插件文件
+   - `langbot-plugin-runtime-data`: 插件运行时数据
+
+### 快速开始
+
+#### 1. 下载部署文件
+
+```bash
+# 克隆仓库
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+
+# 或直接下载 kubernetes.yaml
+wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
+```
+
+#### 2. 部署到 Kubernetes
+
+```bash
+# 应用所有配置
+kubectl apply -f kubernetes.yaml
+
+# 检查部署状态
+kubectl get all -n langbot
+
+# 查看 Pod 日志
+kubectl logs -n langbot -l app=langbot -f
+```
+
+#### 3. 访问 LangBot
+
+默认情况下，LangBot 服务使用 ClusterIP 类型，只能在集群内部访问。您可以选择以下方式之一来访问：
+
+**选项 A: 端口转发（推荐用于测试）**
+
+```bash
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+然后访问 http://localhost:5300
+
+**选项 B: NodePort（适用于开发环境）**
+
+编辑 `kubernetes.yaml`，取消注释 NodePort Service 部分，然后：
+
+```bash
+kubectl apply -f kubernetes.yaml
+# 获取节点 IP
+kubectl get nodes -o wide
+# 访问 http://<NODE_IP>:30300
+```
+
+**选项 C: LoadBalancer（适用于云环境）**
+
+编辑 `kubernetes.yaml`，取消注释 LoadBalancer Service 部分，然后：
+
+```bash
+kubectl apply -f kubernetes.yaml
+# 获取外部 IP
+kubectl get svc -n langbot langbot-loadbalancer
+# 访问 http://<EXTERNAL_IP>
+```
+
+**选项 D: Ingress（推荐用于生产环境）**
+
+确保集群中已安装 Ingress Controller（如 nginx-ingress），然后：
+
+1. 编辑 `kubernetes.yaml` 中的 Ingress 配置
+2. 修改域名为您的实际域名
+3. 应用配置：
+
+```bash
+kubectl apply -f kubernetes.yaml
+# 访问 http://langbot.yourdomain.com
+```
+
+### 配置说明
+
+#### 环境变量
+
+在 `ConfigMap` 中配置环境变量：
+
+```yaml
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: langbot-config
+  namespace: langbot
+data:
+  TZ: "Asia/Shanghai"  # 修改为您的时区
+```
+
+#### 存储配置
+
+默认使用动态存储分配。如果您有特定的 StorageClass，请在 PVC 中指定：
+
+```yaml
+spec:
+  storageClassName: your-storage-class-name
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 10Gi
+```
+
+#### 资源限制
+
+根据您的需求调整资源限制：
+
+```yaml
+resources:
+  requests:
+    memory: "1Gi"
+    cpu: "500m"
+  limits:
+    memory: "4Gi"
+    cpu: "2000m"
+```
+
+### 常用操作
+
+#### 查看日志
+
+```bash
+# 查看 LangBot 主服务日志
+kubectl logs -n langbot -l app=langbot -f
+
+# 查看插件运行时日志
+kubectl logs -n langbot -l app=langbot-plugin-runtime -f
+```
+
+#### 重启服务
+
+```bash
+# 重启 LangBot
+kubectl rollout restart deployment/langbot -n langbot
+
+# 重启插件运行时
+kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
+```
+
+#### 更新镜像
+
+```bash
+# 更新到最新版本
+kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
+kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
+
+# 检查更新状态
+kubectl rollout status deployment/langbot -n langbot
+```
+
+#### 扩容（不推荐）
+
+注意：由于 LangBot 使用 ReadWriteOnce 的持久化存储，不支持多副本扩容。如需高可用，请考虑使用 ReadWriteMany 存储或其他架构方案。
+
+#### 备份数据
+
+```bash
+# 备份 PVC 数据
+kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
+kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
+```
+
+### 卸载
+
+```bash
+# 删除所有资源（保留 PVC）
+kubectl delete deployment,service,configmap -n langbot --all
+
+# 删除 PVC（会删除数据）
+kubectl delete pvc -n langbot --all
+
+# 删除命名空间
+kubectl delete namespace langbot
+```
+
+### 故障排查
+
+#### Pod 无法启动
+
+```bash
+# 查看 Pod 状态
+kubectl get pods -n langbot
+
+# 查看详细信息
+kubectl describe pod -n langbot <pod-name>
+
+# 查看事件
+kubectl get events -n langbot --sort-by='.lastTimestamp'
+```
+
+#### 存储问题
+
+```bash
+# 检查 PVC 状态
+kubectl get pvc -n langbot
+
+# 检查 PV
+kubectl get pv
+```
+
+#### 网络访问问题
+
+```bash
+# 检查 Service
+kubectl get svc -n langbot
+
+# 检查端口转发
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+### 生产环境建议
+
+1. **使用特定版本标签**：避免使用 `latest` 标签，使用具体版本号如 `rockchin/langbot:v1.0.0`
+2. **配置资源限制**：根据实际负载调整 CPU 和内存限制
+3. **使用 Ingress + TLS**：配置 HTTPS 访问和证书管理
+4. **配置监控和告警**：集成 Prometheus、Grafana 等监控工具
+5. **定期备份**：配置自动备份策略保护数据
+6. **使用专用 StorageClass**：为生产环境配置高性能存储
+7. **配置亲和性规则**：确保 Pod 调度到合适的节点
+
+### 高级配置
+
+#### 使用 Secrets 管理敏感信息
+
+如果需要配置 API 密钥等敏感信息：
+
+```yaml
+apiVersion: v1
+kind: Secret
+metadata:
+  name: langbot-secrets
+  namespace: langbot
+type: Opaque
+data:
+  api_key: <base64-encoded-value>
+```
+
+然后在 Deployment 中引用：
+
+```yaml
+env:
+- name: API_KEY
+  valueFrom:
+    secretKeyRef:
+      name: langbot-secrets
+      key: api_key
+```
+
+#### 配置水平自动扩缩容（HPA）
+
+注意：需要确保使用 ReadWriteMany 存储类型
+
+```yaml
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+  name: langbot-hpa
+  namespace: langbot
+spec:
+  scaleTargetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: langbot
+  minReplicas: 1
+  maxReplicas: 3
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      target:
+        type: Utilization
+        averageUtilization: 70
+```
+
+### 参考资源
+
+- [LangBot 官方文档](https://docs.langbot.app)
+- [Docker 部署文档](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Kubernetes 官方文档](https://kubernetes.io/docs/)
+
+---
+
+## English
+
+### Overview
+
+This guide provides complete steps for deploying LangBot in a Kubernetes cluster. The Kubernetes deployment configuration is based on `docker-compose.yaml` and is suitable for production containerized deployments.
+
+### Prerequisites
+
+- Kubernetes cluster (version 1.19+)
+- `kubectl` command-line tool configured with cluster access
+- Available StorageClass in the cluster for persistent storage (optional but recommended)
+- At least 2 vCPU and 4GB RAM of available resources
+
+### Architecture
+
+The Kubernetes deployment includes the following components:
+
+1. **langbot**: Main application service
+   - Provides Web UI (port 5300)
+   - Handles platform webhooks (ports 2280-2290)
+   - Data persistence volume
+   
+2. **langbot-plugin-runtime**: Plugin runtime service
+   - WebSocket communication (port 5400)
+   - Plugin data persistence volume
+
+3. **Persistent Storage**:
+   - `langbot-data`: LangBot main data
+   - `langbot-plugins`: Plugin files
+   - `langbot-plugin-runtime-data`: Plugin runtime data
+
+### Quick Start
+
+#### 1. Download Deployment Files
+
+```bash
+# Clone repository
+git clone https://github.com/langbot-app/LangBot
+cd LangBot/docker
+
+# Or download kubernetes.yaml directly
+wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
+```
+
+#### 2. Deploy to Kubernetes
+
+```bash
+# Apply all configurations
+kubectl apply -f kubernetes.yaml
+
+# Check deployment status
+kubectl get all -n langbot
+
+# View Pod logs
+kubectl logs -n langbot -l app=langbot -f
+```
+
+#### 3. Access LangBot
+
+By default, LangBot service uses ClusterIP type, accessible only within the cluster. Choose one of the following methods to access:
+
+**Option A: Port Forwarding (Recommended for testing)**
+
+```bash
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+Then visit http://localhost:5300
+
+**Option B: NodePort (Suitable for development)**
+
+Edit `kubernetes.yaml`, uncomment the NodePort Service section, then:
+
+```bash
+kubectl apply -f kubernetes.yaml
+# Get node IP
+kubectl get nodes -o wide
+# Visit http://<NODE_IP>:30300
+```
+
+**Option C: LoadBalancer (Suitable for cloud environments)**
+
+Edit `kubernetes.yaml`, uncomment the LoadBalancer Service section, then:
+
+```bash
+kubectl apply -f kubernetes.yaml
+# Get external IP
+kubectl get svc -n langbot langbot-loadbalancer
+# Visit http://<EXTERNAL_IP>
+```
+
+**Option D: Ingress (Recommended for production)**
+
+Ensure an Ingress Controller (e.g., nginx-ingress) is installed in the cluster, then:
+
+1. Edit the Ingress configuration in `kubernetes.yaml`
+2. Change the domain to your actual domain
+3. Apply configuration:
+
+```bash
+kubectl apply -f kubernetes.yaml
+# Visit http://langbot.yourdomain.com
+```
+
+### Configuration
+
+#### Environment Variables
+
+Configure environment variables in ConfigMap:
+
+```yaml
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: langbot-config
+  namespace: langbot
+data:
+  TZ: "Asia/Shanghai"  # Change to your timezone
+```
+
+#### Storage Configuration
+
+Uses dynamic storage provisioning by default. If you have a specific StorageClass, specify it in PVC:
+
+```yaml
+spec:
+  storageClassName: your-storage-class-name
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 10Gi
+```
+
+#### Resource Limits
+
+Adjust resource limits based on your needs:
+
+```yaml
+resources:
+  requests:
+    memory: "1Gi"
+    cpu: "500m"
+  limits:
+    memory: "4Gi"
+    cpu: "2000m"
+```
+
+### Common Operations
+
+#### View Logs
+
+```bash
+# View LangBot main service logs
+kubectl logs -n langbot -l app=langbot -f
+
+# View plugin runtime logs
+kubectl logs -n langbot -l app=langbot-plugin-runtime -f
+```
+
+#### Restart Services
+
+```bash
+# Restart LangBot
+kubectl rollout restart deployment/langbot -n langbot
+
+# Restart plugin runtime
+kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
+```
+
+#### Update Images
+
+```bash
+# Update to latest version
+kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
+kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
+
+# Check update status
+kubectl rollout status deployment/langbot -n langbot
+```
+
+#### Scaling (Not Recommended)
+
+Note: Due to LangBot using ReadWriteOnce persistent storage, multi-replica scaling is not supported. For high availability, consider using ReadWriteMany storage or alternative architectures.
+
+#### Backup Data
+
+```bash
+# Backup PVC data
+kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
+kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
+```
+
+### Uninstall
+
+```bash
+# Delete all resources (keep PVCs)
+kubectl delete deployment,service,configmap -n langbot --all
+
+# Delete PVCs (will delete data)
+kubectl delete pvc -n langbot --all
+
+# Delete namespace
+kubectl delete namespace langbot
+```
+
+### Troubleshooting
+
+#### Pods Not Starting
+
+```bash
+# Check Pod status
+kubectl get pods -n langbot
+
+# View detailed information
+kubectl describe pod -n langbot <pod-name>
+
+# View events
+kubectl get events -n langbot --sort-by='.lastTimestamp'
+```
+
+#### Storage Issues
+
+```bash
+# Check PVC status
+kubectl get pvc -n langbot
+
+# Check PV
+kubectl get pv
+```
+
+#### Network Access Issues
+
+```bash
+# Check Service
+kubectl get svc -n langbot
+
+# Test port forwarding
+kubectl port-forward -n langbot svc/langbot 5300:5300
+```
+
+### Production Recommendations
+
+1. **Use specific version tags**: Avoid using `latest` tag, use specific version like `rockchin/langbot:v1.0.0`
+2. **Configure resource limits**: Adjust CPU and memory limits based on actual load
+3. **Use Ingress + TLS**: Configure HTTPS access and certificate management
+4. **Configure monitoring and alerts**: Integrate monitoring tools like Prometheus, Grafana
+5. **Regular backups**: Configure automated backup strategy to protect data
+6. **Use dedicated StorageClass**: Configure high-performance storage for production
+7. **Configure affinity rules**: Ensure Pods are scheduled to appropriate nodes
+
+### Advanced Configuration
+
+#### Using Secrets for Sensitive Information
+
+If you need to configure sensitive information like API keys:
+
+```yaml
+apiVersion: v1
+kind: Secret
+metadata:
+  name: langbot-secrets
+  namespace: langbot
+type: Opaque
+data:
+  api_key: <base64-encoded-value>
+```
+
+Then reference in Deployment:
+
+```yaml
+env:
+- name: API_KEY
+  valueFrom:
+    secretKeyRef:
+      name: langbot-secrets
+      key: api_key
+```
+
+#### Configure Horizontal Pod Autoscaling (HPA)
+
+Note: Requires ReadWriteMany storage type
+
+```yaml
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+  name: langbot-hpa
+  namespace: langbot
+spec:
+  scaleTargetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: langbot
+  minReplicas: 1
+  maxReplicas: 3
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      target:
+        type: Utilization
+        averageUtilization: 70
+```
+
+### References
+
+- [LangBot Official Documentation](https://docs.langbot.app)
+- [Docker Deployment Guide](https://docs.langbot.app/zh/deploy/langbot/docker.html)
+- [Kubernetes Official Documentation](https://kubernetes.io/docs/)

docker/deploy-k8s-test.sh

@@ -0,0 +1,74 @@
+#!/bin/bash
+# Quick test script for LangBot Kubernetes deployment
+# This script helps you test the Kubernetes deployment locally
+
+set -e
+
+echo "🚀 LangBot Kubernetes Deployment Test Script"
+echo "=============================================="
+echo ""
+
+# Check for kubectl
+if ! command -v kubectl &> /dev/null; then
+    echo "❌ kubectl is not installed. Please install kubectl first."
+    echo "Visit: https://kubernetes.io/docs/tasks/tools/"
+    exit 1
+fi
+
+echo "✓ kubectl is installed"
+
+# Check if kubectl can connect to a cluster
+if ! kubectl cluster-info &> /dev/null; then
+    echo ""
+    echo "⚠️  No Kubernetes cluster found."
+    echo ""
+    echo "To test locally, you can use:"
+    echo "  - kind: https://kind.sigs.k8s.io/"
+    echo "  - minikube: https://minikube.sigs.k8s.io/"
+    echo "  - k3s: https://k3s.io/"
+    echo ""
+    echo "Example with kind:"
+    echo "  kind create cluster --name langbot-test"
+    echo ""
+    exit 1
+fi
+
+echo "✓ Connected to Kubernetes cluster"
+kubectl cluster-info
+echo ""
+
+# Ask user to confirm
+read -p "Do you want to deploy LangBot to this cluster? (y/N) " -n 1 -r
+echo
+if [[ ! $REPLY =~ ^[Yy]$ ]]; then
+    echo "Deployment cancelled."
+    exit 0
+fi
+
+echo ""
+echo "📦 Deploying LangBot..."
+kubectl apply -f kubernetes.yaml
+
+echo ""
+echo "⏳ Waiting for pods to be ready..."
+kubectl wait --for=condition=ready pod -l app=langbot -n langbot --timeout=300s
+kubectl wait --for=condition=ready pod -l app=langbot-plugin-runtime -n langbot --timeout=300s
+
+echo ""
+echo "✅ Deployment complete!"
+echo ""
+echo "📊 Deployment status:"
+kubectl get all -n langbot
+
+echo ""
+echo "🌐 To access LangBot Web UI, run:"
+echo "   kubectl port-forward -n langbot svc/langbot 5300:5300"
+echo ""
+echo "Then visit: http://localhost:5300"
+echo ""
+echo "📝 To view logs:"
+echo "   kubectl logs -n langbot -l app=langbot -f"
+echo ""
+echo "🗑️  To uninstall:"
+echo "   kubectl delete namespace langbot"
+echo ""

docker/docker-compose.yaml

@@ -0,0 +1,37 @@
+# Docker Compose configuration for LangBot
+# For Kubernetes deployment, see kubernetes.yaml and README_K8S.md
+version: "3"
+
+services:
+
+  langbot_plugin_runtime:
+    image: rockchin/langbot:latest
+    container_name: langbot_plugin_runtime
+    volumes:
+      - ./data/plugins:/app/data/plugins
+    ports:
+      - 5401:5401
+    restart: on-failure
+    environment:
+      - TZ=Asia/Shanghai
+    command: ["uv", "run", "--no-sync", "-m", "langbot_plugin.cli.__init__", "rt"]
+    networks:
+      - langbot_network
+
+  langbot:
+    image: rockchin/langbot:latest
+    container_name: langbot
+    volumes:
+      - ./data:/app/data
+    restart: on-failure
+    environment:
+      - TZ=Asia/Shanghai
+    ports:
+      - 5300:5300  # For web ui and webhook callback
+      - 2280-2285:2280-2285  # For platform reverse connection
+    networks:
+      - langbot_network
+
+networks:
+  langbot_network:
+    driver: bridge

docker/kubernetes.yaml

@@ -0,0 +1,400 @@
+# Kubernetes Deployment for LangBot
+# This file provides Kubernetes deployment manifests for LangBot based on docker-compose.yaml
+# 
+# Usage:
+#   kubectl apply -f kubernetes.yaml
+#
+# Prerequisites:
+#   - A Kubernetes cluster (1.19+)
+#   - kubectl configured to communicate with your cluster
+#   - (Optional) A StorageClass for dynamic volume provisioning
+#
+# Components:
+#   - Namespace: langbot
+#   - PersistentVolumeClaims for data persistence
+#   - Deployments for langbot and langbot_plugin_runtime
+#   - Services for network access
+#   - ConfigMap for timezone configuration
+
+---
+# Namespace
+apiVersion: v1
+kind: Namespace
+metadata:
+  name: langbot
+  labels:
+    app: langbot
+
+---
+# PersistentVolumeClaim for LangBot data
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: langbot-data
+  namespace: langbot
+spec:
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 10Gi
+  # Uncomment and modify if you have a specific StorageClass
+  # storageClassName: your-storage-class
+
+---
+# PersistentVolumeClaim for LangBot plugins
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: langbot-plugins
+  namespace: langbot
+spec:
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 5Gi
+  # Uncomment and modify if you have a specific StorageClass
+  # storageClassName: your-storage-class
+
+---
+# PersistentVolumeClaim for Plugin Runtime data
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+  name: langbot-plugin-runtime-data
+  namespace: langbot
+spec:
+  accessModes:
+    - ReadWriteOnce
+  resources:
+    requests:
+      storage: 5Gi
+  # Uncomment and modify if you have a specific StorageClass
+  # storageClassName: your-storage-class
+
+---
+# ConfigMap for environment configuration
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: langbot-config
+  namespace: langbot
+data:
+  TZ: "Asia/Shanghai"
+  PLUGIN__RUNTIME_WS_URL: "ws://langbot-plugin-runtime:5400/control/ws"
+
+---
+# Deployment for LangBot Plugin Runtime
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: langbot-plugin-runtime
+  namespace: langbot
+  labels:
+    app: langbot-plugin-runtime
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: langbot-plugin-runtime
+  template:
+    metadata:
+      labels:
+        app: langbot-plugin-runtime
+    spec:
+      containers:
+      - name: langbot-plugin-runtime
+        image: rockchin/langbot:latest
+        imagePullPolicy: Always
+        command: ["uv", "run", "-m", "langbot_plugin.cli.__init__", "rt"]
+        ports:
+        - containerPort: 5400
+          name: runtime
+          protocol: TCP
+        env:
+        - name: TZ
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: TZ
+        volumeMounts:
+        - name: plugin-data
+          mountPath: /app/data/plugins
+        resources:
+          requests:
+            memory: "512Mi"
+            cpu: "250m"
+          limits:
+            memory: "2Gi"
+            cpu: "1000m"
+        # Liveness probe to restart container if it becomes unresponsive
+        livenessProbe:
+          tcpSocket:
+            port: 5400
+          initialDelaySeconds: 30
+          periodSeconds: 10
+          timeoutSeconds: 5
+          failureThreshold: 3
+        # Readiness probe to know when container is ready to accept traffic
+        readinessProbe:
+          tcpSocket:
+            port: 5400
+          initialDelaySeconds: 10
+          periodSeconds: 5
+          timeoutSeconds: 3
+          failureThreshold: 3
+      volumes:
+      - name: plugin-data
+        persistentVolumeClaim:
+          claimName: langbot-plugin-runtime-data
+      restartPolicy: Always
+
+---
+# Service for LangBot Plugin Runtime
+apiVersion: v1
+kind: Service
+metadata:
+  name: langbot-plugin-runtime
+  namespace: langbot
+  labels:
+    app: langbot-plugin-runtime
+spec:
+  type: ClusterIP
+  selector:
+    app: langbot-plugin-runtime
+  ports:
+  - port: 5400
+    targetPort: 5400
+    protocol: TCP
+    name: runtime
+
+---
+# Deployment for LangBot
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: langbot
+  namespace: langbot
+  labels:
+    app: langbot
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: langbot
+  template:
+    metadata:
+      labels:
+        app: langbot
+    spec:
+      containers:
+      - name: langbot
+        image: rockchin/langbot:latest
+        imagePullPolicy: Always
+        ports:
+        - containerPort: 5300
+          name: web
+          protocol: TCP
+        - containerPort: 2280
+          name: webhook-start
+          protocol: TCP
+        # Note: Kubernetes doesn't support port ranges directly in container ports
+        # The webhook ports 2280-2290 are available, but we only expose the start of the range
+        # If you need all ports exposed, consider using a Service with multiple port definitions
+        env:
+        - name: TZ
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: TZ
+        - name: PLUGIN__RUNTIME_WS_URL
+          valueFrom:
+            configMapKeyRef:
+              name: langbot-config
+              key: PLUGIN__RUNTIME_WS_URL
+        volumeMounts:
+        - name: data
+          mountPath: /app/data
+        - name: plugins
+          mountPath: /app/plugins
+        resources:
+          requests:
+            memory: "1Gi"
+            cpu: "500m"
+          limits:
+            memory: "4Gi"
+            cpu: "2000m"
+        # Liveness probe to restart container if it becomes unresponsive
+        livenessProbe:
+          httpGet:
+            path: /
+            port: 5300
+          initialDelaySeconds: 60
+          periodSeconds: 10
+          timeoutSeconds: 5
+          failureThreshold: 3
+        # Readiness probe to know when container is ready to accept traffic
+        readinessProbe:
+          httpGet:
+            path: /
+            port: 5300
+          initialDelaySeconds: 30
+          periodSeconds: 5
+          timeoutSeconds: 3
+          failureThreshold: 3
+      volumes:
+      - name: data
+        persistentVolumeClaim:
+          claimName: langbot-data
+      - name: plugins
+        persistentVolumeClaim:
+          claimName: langbot-plugins
+      restartPolicy: Always
+
+---
+# Service for LangBot (ClusterIP for internal access)
+apiVersion: v1
+kind: Service
+metadata:
+  name: langbot
+  namespace: langbot
+  labels:
+    app: langbot
+spec:
+  type: ClusterIP
+  selector:
+    app: langbot
+  ports:
+  - port: 5300
+    targetPort: 5300
+    protocol: TCP
+    name: web
+  - port: 2280
+    targetPort: 2280
+    protocol: TCP
+    name: webhook-2280
+  - port: 2281
+    targetPort: 2281
+    protocol: TCP
+    name: webhook-2281
+  - port: 2282
+    targetPort: 2282
+    protocol: TCP
+    name: webhook-2282
+  - port: 2283
+    targetPort: 2283
+    protocol: TCP
+    name: webhook-2283
+  - port: 2284
+    targetPort: 2284
+    protocol: TCP
+    name: webhook-2284
+  - port: 2285
+    targetPort: 2285
+    protocol: TCP
+    name: webhook-2285
+  - port: 2286
+    targetPort: 2286
+    protocol: TCP
+    name: webhook-2286
+  - port: 2287
+    targetPort: 2287
+    protocol: TCP
+    name: webhook-2287
+  - port: 2288
+    targetPort: 2288
+    protocol: TCP
+    name: webhook-2288
+  - port: 2289
+    targetPort: 2289
+    protocol: TCP
+    name: webhook-2289
+  - port: 2290
+    targetPort: 2290
+    protocol: TCP
+    name: webhook-2290
+
+---
+# Ingress for external access (Optional - requires Ingress Controller)
+# Uncomment and modify the following section if you want to expose LangBot via Ingress
+# apiVersion: networking.k8s.io/v1
+# kind: Ingress
+# metadata:
+#   name: langbot-ingress
+#   namespace: langbot
+#   annotations:
+#     # Uncomment and modify based on your ingress controller
+#     # nginx.ingress.kubernetes.io/rewrite-target: /
+#     # cert-manager.io/cluster-issuer: letsencrypt-prod
+# spec:
+#   ingressClassName: nginx  # Change based on your ingress controller
+#   rules:
+#   - host: langbot.yourdomain.com  # Change to your domain
+#     http:
+#       paths:
+#       - path: /
+#         pathType: Prefix
+#         backend:
+#           service:
+#             name: langbot
+#             port:
+#               number: 5300
+#   # Uncomment for TLS/HTTPS
+#   # tls:
+#   # - hosts:
+#   #   - langbot.yourdomain.com
+#   #   secretName: langbot-tls
+
+---
+# Service for LangBot with LoadBalancer (Alternative to Ingress)
+# Uncomment the following if you want to expose LangBot directly via LoadBalancer
+# This is useful in cloud environments (AWS, GCP, Azure, etc.)
+# apiVersion: v1
+# kind: Service
+# metadata:
+#   name: langbot-loadbalancer
+#   namespace: langbot
+#   labels:
+#     app: langbot
+# spec:
+#   type: LoadBalancer
+#   selector:
+#     app: langbot
+#   ports:
+#   - port: 80
+#     targetPort: 5300
+#     protocol: TCP
+#     name: web
+#   - port: 2280
+#     targetPort: 2280
+#     protocol: TCP
+#     name: webhook-start
+#   # Add more webhook ports as needed
+
+---
+# Service for LangBot with NodePort (Alternative for exposing service)
+# Uncomment if you want to expose LangBot via NodePort
+# This is useful for testing or when LoadBalancer is not available
+# apiVersion: v1
+# kind: Service
+# metadata:
+#   name: langbot-nodeport
+#   namespace: langbot
+#   labels:
+#     app: langbot
+# spec:
+#   type: NodePort
+#   selector:
+#     app: langbot
+#   ports:
+#   - port: 5300
+#     targetPort: 5300
+#     nodePort: 30300  # Must be in range 30000-32767
+#     protocol: TCP
+#     name: web
+#   - port: 2280
+#     targetPort: 2280
+#     nodePort: 30280  # Must be in range 30000-32767
+#     protocol: TCP
+#     name: webhook

docs/API_KEY_AUTH.md

@@ -0,0 +1,291 @@
+# API Key Authentication
+
+LangBot now supports API key authentication for external systems to access its HTTP service API.
+
+## Managing API Keys
+
+API keys can be managed through the web interface:
+
+1. Log in to the LangBot web interface
+2. Click the "API Keys" button at the bottom of the sidebar
+3. Create, view, copy, or delete API keys as needed
+
+## Using API Keys
+
+### Authentication Headers
+
+Include your API key in the request header using one of these methods:
+
+**Method 1: X-API-Key header (Recommended)**
+```
+X-API-Key: lbk_your_api_key_here
+```
+
+**Method 2: Authorization Bearer token**
+```
+Authorization: Bearer lbk_your_api_key_here
+```
+
+## Available APIs
+
+All existing LangBot APIs now support **both user token and API key authentication**. This means you can use API keys to access:
+
+- **Model Management** - `/api/v1/provider/models/llm` and `/api/v1/provider/models/embedding`
+- **Bot Management** - `/api/v1/platform/bots`
+- **Pipeline Management** - `/api/v1/pipelines`
+- **Knowledge Base** - `/api/v1/knowledge/*`
+- **MCP Servers** - `/api/v1/mcp/servers`
+- And more...
+
+### Authentication Methods
+
+Each endpoint accepts **either**:
+1. **User Token** (via `Authorization: Bearer <user_jwt_token>`) - for web UI and authenticated users
+2. **API Key** (via `X-API-Key` or `Authorization: Bearer <api_key>`) - for external services
+
+## Example: Model Management
+
+### List All LLM Models
+
+```http
+GET /api/v1/provider/models/llm
+X-API-Key: lbk_your_api_key_here
+```
+
+Response:
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "models": [
+      {
+        "uuid": "model-uuid",
+        "name": "GPT-4",
+        "description": "OpenAI GPT-4 model",
+        "requester": "openai-chat-completions",
+        "requester_config": {...},
+        "abilities": ["chat", "vision"],
+        "created_at": "2024-01-01T00:00:00",
+        "updated_at": "2024-01-01T00:00:00"
+      }
+    ]
+  }
+}
+```
+
+### Create a New LLM Model
+
+```http
+POST /api/v1/provider/models/llm
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "My Custom Model",
+  "description": "Description of the model",
+  "requester": "openai-chat-completions",
+  "requester_config": {
+    "model": "gpt-4",
+    "args": {}
+  },
+  "api_keys": [
+    {
+      "name": "default",
+      "keys": ["sk-..."]
+    }
+  ],
+  "abilities": ["chat"],
+  "extra_args": {}
+}
+```
+
+### Update an LLM Model
+
+```http
+PUT /api/v1/provider/models/llm/{model_uuid}
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "Updated Model Name",
+  "description": "Updated description",
+  ...
+}
+```
+
+### Delete an LLM Model
+
+```http
+DELETE /api/v1/provider/models/llm/{model_uuid}
+X-API-Key: lbk_your_api_key_here
+```
+
+## Example: Bot Management
+
+### List All Bots
+
+```http
+GET /api/v1/platform/bots
+X-API-Key: lbk_your_api_key_here
+```
+
+### Create a New Bot
+
+```http
+POST /api/v1/platform/bots
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "My Bot",
+  "adapter": "telegram",
+  "config": {...}
+}
+```
+
+## Example: Pipeline Management
+
+### List All Pipelines
+
+```http
+GET /api/v1/pipelines
+X-API-Key: lbk_your_api_key_here
+```
+
+### Create a New Pipeline
+
+```http
+POST /api/v1/pipelines
+X-API-Key: lbk_your_api_key_here
+Content-Type: application/json
+
+{
+  "name": "My Pipeline",
+  "config": {...}
+}
+```
+
+## Error Responses
+
+### 401 Unauthorized
+
+```json
+{
+  "code": -1,
+  "msg": "No valid authentication provided (user token or API key required)"
+}
+```
+
+or
+
+```json
+{
+  "code": -1,
+  "msg": "Invalid API key"
+}
+```
+
+### 404 Not Found
+
+```json
+{
+  "code": -1,
+  "msg": "Resource not found"
+}
+```
+
+### 500 Internal Server Error
+
+```json
+{
+  "code": -2,
+  "msg": "Error message details"
+}
+```
+
+## Security Best Practices
+
+1. **Keep API keys secure**: Store them securely and never commit them to version control
+2. **Use HTTPS**: Always use HTTPS in production to encrypt API key transmission
+3. **Rotate keys regularly**: Create new API keys periodically and delete old ones
+4. **Use descriptive names**: Give your API keys meaningful names to track their usage
+5. **Delete unused keys**: Remove API keys that are no longer needed
+6. **Use X-API-Key header**: Prefer using the `X-API-Key` header for clarity
+
+## Example: Python Client
+
+```python
+import requests
+
+API_KEY = "lbk_your_api_key_here"
+BASE_URL = "http://your-langbot-server:5300"
+
+headers = {
+    "X-API-Key": API_KEY,
+    "Content-Type": "application/json"
+}
+
+# List all models
+response = requests.get(f"{BASE_URL}/api/v1/provider/models/llm", headers=headers)
+models = response.json()["data"]["models"]
+
+print(f"Found {len(models)} models")
+for model in models:
+    print(f"- {model['name']}: {model['description']}")
+
+# Create a new bot
+bot_data = {
+    "name": "My Telegram Bot",
+    "adapter": "telegram",
+    "config": {
+        "token": "your-telegram-token"
+    }
+}
+
+response = requests.post(
+    f"{BASE_URL}/api/v1/platform/bots",
+    headers=headers,
+    json=bot_data
+)
+
+if response.status_code == 200:
+    bot_uuid = response.json()["data"]["uuid"]
+    print(f"Bot created with UUID: {bot_uuid}")
+```
+
+## Example: cURL
+
+```bash
+# List all models
+curl -X GET \
+  -H "X-API-Key: lbk_your_api_key_here" \
+  http://your-langbot-server:5300/api/v1/provider/models/llm
+
+# Create a new pipeline
+curl -X POST \
+  -H "X-API-Key: lbk_your_api_key_here" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "name": "My Pipeline",
+    "config": {...}
+  }' \
+  http://your-langbot-server:5300/api/v1/pipelines
+
+# Get bot logs
+curl -X POST \
+  -H "X-API-Key: lbk_your_api_key_here" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "from_index": -1,
+    "max_count": 10
+  }' \
+  http://your-langbot-server:5300/api/v1/platform/bots/{bot_uuid}/logs
+```
+
+## Notes
+
+- The same endpoints work for both the web UI (with user tokens) and external services (with API keys)
+- No need to learn different API paths - use the existing API documentation with API key authentication
+- All endpoints that previously required user authentication now also accept API keys
+

docs/MIGRATION_SUMMARY.md

@@ -0,0 +1,412 @@
+# WebChat 到 WebSocket 迁移总结
+
+## 概述
+
+已完全移除旧的基于SSE的WebChat系统，并替换为基于WebSocket的双向实时通信系统。这是一个内置在LangBot中的完整IM系统，支持流式输出。
+
+## 已删除的文件
+
+### 后端
+- ❌ `src/langbot/pkg/api/http/controller/groups/pipelines/webchat.py` - 旧的SSE路由
+- ❌ `src/langbot/pkg/platform/sources/webchat.py` - 旧的WebChat适配器
+- ❌ `src/langbot/pkg/platform/sources/webchat.yaml` - 旧的配置文件
+
+### 前端
+- ❌ BackendClient中所有SSE相关代码已完全移除
+- ❌ DebugDialog中所有SSE相关逻辑已完全替换
+
+## 新增的文件
+
+### 后端核心文件
+
+**1. WebSocket连接管理器**
+```
+src/langbot/pkg/platform/sources/websocket_manager.py
+```
+- 管理所有并发WebSocket连接
+- 线程安全的连接池
+- 按流水线、会话类型分组
+- 广播和单播消息功能
+- 连接统计和监控
+
+**2. WebSocket适配器**
+```
+src/langbot/pkg/platform/sources/websocket_adapter.py
+```
+- 实现平台适配器接口
+- **完整流式支持** (`reply_message_chunk` 方法)
+- 双向消息流处理
+- 消息历史管理
+- 会话管理
+
+**3. WebSocket路由控制器**
+```
+src/langbot/pkg/api/http/controller/groups/pipelines/websocket_chat.py
+```
+- WebSocket端点处理
+- REST API接口
+- 心跳机制
+- 连接生命周期管理
+
+**4. 配置文件**
+```
+src/langbot/pkg/platform/sources/websocket.yaml
+```
+- WebSocket适配器元数据
+
+### 前端核心文件
+
+**1. WebSocket客户端**
+```
+web/src/app/infra/websocket/WebSocketClient.ts
+```
+- WebSocket连接管理
+- 自动重连（最多5次）
+- 心跳机制（30秒）
+- 事件回调系统
+
+**2. 更新的组件**
+```
+web/src/app/home/pipelines/components/debug-dialog/DebugDialog.tsx
+```
+- 完全重写，使用WebSocket
+- 实时连接状态显示
+- 流式消息支持
+- 自动重连
+
+**3. HTTP客户端更新**
+```
+web/src/app/infra/http/BackendClient.ts
+```
+- 移除所有旧的WebChat API
+- 仅保留WebSocket API
+
+### 测试工具
+
+**Python测试客户端**
+```
+test_websocket_client.py
+```
+- 单连接交互测试
+- 多连接并发测试
+- 命令行工具
+
+### 文档
+
+**使用文档**
+```
+WEBSOCKET_README.md
+```
+- 完整的API文档
+- 架构说明
+- 使用示例
+- 故障排查
+
+## 核心变更
+
+### 后端变更
+
+**1. botmgr.py**
+- ❌ 移除 `webchat_proxy_bot`
+- ✅ 仅保留 `websocket_proxy_bot`
+- ✅ 更新适配器过滤逻辑（排除`websocket`而非`webchat`）
+
+**2. 适配器注册**
+```python
+# 旧代码（已删除）
+webchat_adapter_class = self.adapter_dict['webchat']
+self.webchat_proxy_bot = RuntimeBot(...)
+
+# 新代码
+websocket_adapter_class = self.adapter_dict['websocket']
+self.websocket_proxy_bot = RuntimeBot(
+    uuid='websocket-proxy-bot',
+    name='WebSocket',
+    adapter='websocket',
+    ...
+)
+```
+
+### 前端变更
+
+**1. API调用完全更换**
+
+旧代码（已删除）:
+```typescript
+// SSE流式请求
+await fetch(url, {
+  method: 'POST',
+  body: JSON.stringify({ is_stream: true })
+})
+// 手动解析 text/event-stream
+```
+
+新代码:
+```typescript
+// WebSocket实时通信
+const wsClient = new WebSocketClient(pipelineId, sessionType);
+await wsClient.connect();
+
+wsClient.onMessage((message) => {
+  // 流式消息自动处理
+  setMessages(prev => [...prev, message]);
+});
+
+wsClient.sendMessage(messageChain);
+```
+
+**2. 连接状态管理**
+
+新增功能:
+- ✅ 实时连接状态指示器（绿色/红色圆点）
+- ✅ 连接/断开toast提示
+- ✅ 自动重连逻辑
+- ✅ 心跳保活
+
+**3. 流式支持**
+
+完整的流式消息处理:
+```typescript
+wsClient.onMessage((message) => {
+  if (message.is_final) {
+    // 最终消息
+    finalizeBotMessage(message);
+  } else {
+    // 中间消息块，实时更新UI
+    updateBotMessage(message);
+  }
+});
+```
+
+## API对比
+
+### WebSocket端点
+
+**连接**
+```
+ws://localhost:8000/api/v1/pipelines/<pipeline_uuid>/ws/connect?session_type=<person|group>
+```
+
+**消息格式**
+
+客户端发送:
+```json
+{
+  "type": "message",
+  "message": [
+    {"type": "Plain", "text": "你好"}
+  ]
+}
+```
+
+服务器响应（流式）:
+```json
+{
+  "type": "response",
+  "data": {
+    "id": 1,
+    "role": "assistant",
+    "content": "你好，我是...",
+    "is_final": false,
+    "timestamp": "2025-01-28T..."
+  }
+}
+```
+
+### REST API
+
+| 端点 | 方法 | 说明 |
+|------|------|------|
+| `/api/v1/pipelines/<uuid>/ws/messages/<type>` | GET | 获取消息历史 |
+| `/api/v1/pipelines/<uuid>/ws/reset/<type>` | POST | 重置会话 |
+| `/api/v1/pipelines/<uuid>/ws/connections` | GET | 获取连接统计 |
+| `/api/v1/pipelines/<uuid>/ws/broadcast` | POST | 广播消息 |
+
+## 流式支持详解
+
+### 后端流式实现
+
+**WebSocket Adapter**
+```python
+async def reply_message_chunk(
+    self,
+    message_source: platform_events.MessageEvent,
+    bot_message,
+    message: platform_message.MessageChain,
+    quote_origin: bool = False,
+    is_final: bool = False,
+) -> dict:
+    """回复消息块 - 流式"""
+    message_data = WebSocketMessage(
+        id=-1,
+        role='assistant',
+        content=str(message),
+        message_chain=[component.__dict__ for component in message],
+        timestamp=datetime.now().isoformat(),
+        is_final=is_final and bot_message.tool_calls is None,
+    )
+
+    # 发送到队列，由WebSocket连接处理发送
+    await session.resp_queues[message_id].put(message_data)
+    return message_data.model_dump()
+
+async def is_stream_output_supported(self) -> bool:
+    """WebSocket始终支持流式输出"""
+    return True
+```
+
+### 前端流式处理
+
+**DebugDialog组件**
+```typescript
+wsClient.onMessage((message) => {
+  setMessages((prevMessages) => {
+    const existingIndex = prevMessages.findIndex(
+      (msg) => msg.role === 'assistant' && msg.content === 'Generating...'
+    );
+
+    if (existingIndex !== -1) {
+      // 更新正在生成的消息
+      const updatedMessages = [...prevMessages];
+      updatedMessages[existingIndex] = message;
+      return updatedMessages;
+    } else {
+      // 添加新消息
+      return [...prevMessages, message];
+    }
+  });
+});
+```
+
+## 兼容性说明
+
+### ⚠️ 不兼容旧版本
+
+此次迁移**完全不兼容**旧的WebChat系统：
+
+1. **API端点变更**
+   - 旧: `/api/v1/pipelines/<uuid>/chat/send`
+   - 新: `ws://.../<uuid>/ws/connect`
+
+2. **通信协议变更**
+   - 旧: HTTP + SSE (Server-Sent Events)
+   - 新: WebSocket (双向)
+
+3. **流式实现变更**
+   - 旧: `text/event-stream` 格式
+   - 新: WebSocket JSON消息
+
+### 迁移要求
+
+使用新系统需要:
+1. ✅ 前端必须支持WebSocket
+2. ✅ 后端必须运行新的WebSocket适配器
+3. ✅ 清除旧的WebChat相关配置
+
+## 优势对比
+
+| 特性 | 旧WebChat (SSE) | 新WebSocket |
+|------|----------------|-------------|
+| 双向通信 | ❌ 单向（服务器→客户端） | ✅ 双向 |
+| 主动推送 | ❌ 不支持 | ✅ 支持 |
+| 连接管理 | ❌ 无状态 | ✅ 有状态，完整生命周期 |
+| 流式输出 | ✅ 支持 | ✅ 支持（更优） |
+| 心跳机制 | ❌ 无 | ✅ 30秒心跳 |
+| 自动重连 | ❌ 无 | ✅ 最多5次 |
+| 多连接 | ⚠️ 难以管理 | ✅ 完整支持 |
+| 连接状态 | ❌ 不可见 | ✅ 实时显示 |
+| 广播功能 | ❌ 不支持 | ✅ 支持 |
+
+## 测试方式
+
+### 1. Python测试客户端
+
+```bash
+# 单连接测试
+python test_websocket_client.py <pipeline_uuid>
+
+# 指定会话类型
+python test_websocket_client.py <pipeline_uuid> --session-type group
+
+# 多连接并发测试（5个连接）
+python test_websocket_client.py <pipeline_uuid> --multi 5
+```
+
+### 2. 前端测试
+
+1. 启动LangBot服务器
+2. 访问前端界面
+3. 打开流水线调试对话框
+4. 观察连接状态指示器（左下角圆点）
+5. 发送消息测试流式响应
+
+### 3. 浏览器控制台测试
+
+```javascript
+const ws = new WebSocket('ws://localhost:8000/api/v1/pipelines/<uuid>/ws/connect?session_type=person');
+
+ws.onopen = () => {
+  console.log('已连接');
+  ws.send(JSON.stringify({
+    type: 'message',
+    message: [{type: 'Plain', text: '你好'}]
+  }));
+};
+
+ws.onmessage = (event) => {
+  console.log('收到:', JSON.parse(event.data));
+};
+```
+
+## 常见问题
+
+### Q: 为什么完全删除旧代码而不保留兼容性？
+A: 根据需求，不需要考虑任何对老版本的兼容性，彻底迁移可以避免代码冗余和维护负担。
+
+### Q: 流式输出如何工作？
+A:
+1. 后端通过`reply_message_chunk`发送消息块
+2. 消息块放入队列
+3. WebSocket连接从队列取出并发送
+4. 前端实时更新UI
+5. `is_final=true`表示最后一块
+
+### Q: 如何确保连接不断开？
+A:
+1. 客户端每30秒发送心跳（ping）
+2. 服务器响应pong
+3. 连接断开时自动重连（最多5次）
+
+### Q: 如何实现后端主动推送？
+A:
+1. 调用 `/api/v1/pipelines/<uuid>/ws/broadcast` API
+2. 消息会被推送到该流水线的所有连接
+3. 前端通过`onBroadcast`回调接收
+
+## 总结
+
+✅ **完成的工作**
+- 完全移除旧的WebChat/SSE系统
+- 实现完整的WebSocket双向通信系统
+- 支持流式输出
+- 支持多连接并发
+- 实现自动重连和心跳机制
+- 提供完整的测试工具和文档
+
+✅ **核心特性**
+- 双向实时通信
+- 流式消息支持
+- 多连接管理
+- 自动重连
+- 心跳保活
+- 连接状态可视化
+- 广播消息
+
+✅ **技术亮点**
+- 异步架构（asyncio）
+- 线程安全的连接管理
+- 独立的消息队列
+- 完整的错误处理
+- 模块化设计
+
+🎉 系统已完全迁移到WebSocket，无任何旧代码遗留！

docs/PYPI_INSTALLATION.md

@@ -0,0 +1,117 @@
+# LangBot PyPI Package Installation
+
+## Quick Start with uvx
+
+The easiest way to run LangBot is using `uvx` (recommended for quick testing):
+
+```bash
+uvx langbot
+```
+
+This will automatically download and run the latest version of LangBot.
+
+## Install with pip/uv
+
+You can also install LangBot as a regular Python package:
+
+```bash
+# Using pip
+pip install langbot
+
+# Using uv
+uv pip install langbot
+```
+
+Then run it:
+
+```bash
+langbot
+```
+
+Or using Python module syntax:
+
+```bash
+python -m langbot
+```
+
+## Installation with Frontend
+
+When published to PyPI, the LangBot package includes the pre-built frontend files. You don't need to build the frontend separately.
+
+## Data Directory
+
+When running LangBot as a package, it will create a `data/` directory in your current working directory to store configuration, logs, and other runtime data. You can run LangBot from any directory, and it will set up its data directory there.
+
+## Command Line Options
+
+LangBot supports the following command line options:
+
+- `--standalone-runtime`: Use standalone plugin runtime
+- `--debug`: Enable debug mode
+
+Example:
+
+```bash
+langbot --debug
+```
+
+## Comparison with Other Installation Methods
+
+### PyPI Package (uvx/pip)
+- **Pros**: Easy to install and update, no need to clone repository or build frontend
+- **Cons**: Less flexible for development/customization
+
+### Docker
+- **Pros**: Isolated environment, easy deployment
+- **Cons**: Requires Docker
+
+### Manual Source Installation
+- **Pros**: Full control, easy to customize and develop
+- **Cons**: Requires building frontend, managing dependencies manually
+
+## Development
+
+If you want to contribute or customize LangBot, you should still use the manual installation method by cloning the repository:
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot
+uv sync
+cd web
+npm install
+npm run build
+cd ..
+uv run main.py
+```
+
+## Updating
+
+To update to the latest version:
+
+```bash
+# With pip
+pip install --upgrade langbot
+
+# With uv
+uv pip install --upgrade langbot
+
+# With uvx (automatically uses latest)
+uvx langbot
+```
+
+## System Requirements
+
+- Python 3.10.1 or higher
+- Operating System: Linux, macOS, or Windows
+
+## Differences from Source Installation
+
+When running LangBot from the PyPI package (via uvx or pip), there are a few behavioral differences compared to running from source:
+
+1. **Version Check**: The package version does not prompt for user input when the Python version is incompatible. It simply prints an error message and exits. This makes it compatible with non-interactive environments like containers and CI/CD.
+
+2. **Working Directory**: The package version does not require being run from the LangBot project root. You can run `langbot` from any directory, and it will create a `data/` directory in your current working directory.
+
+3. **Frontend Files**: The frontend is pre-built and included in the package, so you don't need to run `npm build` separately.
+
+These differences are intentional to make the package more user-friendly and suitable for various deployment scenarios.

docs/SEEKDB_INTEGRATION.md

@@ -0,0 +1,259 @@
+# SeekDB Vector Database Integration
+
+This document describes how to use OceanBase SeekDB as the vector database backend for LangBot's knowledge base feature.
+
+## What is SeekDB?
+
+**OceanBase SeekDB** is an AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows. It's developed by OceanBase and released under Apache 2.0 license.
+
+### Key Features
+
+- **Hybrid Search**: Combine vector search, full-text search and relational query in a single statement
+- **Multi-Model Support**: Support relational, vector, text, JSON and GIS in a single engine
+- **Lightweight**: Requires as little as 1 CPU core and 2 GB of memory
+- **Multiple Deployment Modes**: Supports both embedded mode and client/server mode
+- **MySQL Compatible**: Powered by OceanBase engine with full ACID compliance and MySQL compatibility
+
+## Installation
+
+SeekDB support is automatically included when you install LangBot. The required dependency `pyseekdb` is listed in `pyproject.toml`.
+
+If you need to install it manually:
+
+```bash
+pip install pyseekdb
+```
+
+## ⚠️ Platform Compatibility
+
+### Embedded Mode
+
+| Platform | Status | Notes |
+|----------|--------|-------|
+| Linux | ✅ Supported | Full embedded mode support via `pylibseekdb` |
+| macOS | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
+| Windows | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
+
+**Important**: Embedded mode requires the `pylibseekdb` library, which is only available on Linux. If you're on macOS or Windows, you must use server mode.
+
+### Server Mode (Docker)
+
+| Platform | Status | Notes |
+|----------|--------|-------|
+| Linux | ✅ Supported | Full Docker support |
+| macOS | ⚠️ Known Issue | Docker container initialization failure - [See Issue #36](https://github.com/oceanbase/seekdb/issues/36) |
+| Windows | ⚠️ Untested | Should work but not yet tested |
+
+**macOS Users**: Currently, SeekDB Docker containers have an initialization issue on macOS ([oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36)). Until this is resolved, we recommend:
+- Using ChromaDB or Qdrant as alternatives
+- Connecting to a remote SeekDB server on Linux if available
+
+### Server Mode (Remote Connection)
+
+| Platform | Status | Notes |
+|----------|--------|-------|
+| All Platforms | ✅ Supported | Connect to SeekDB running on a remote Linux server |
+
+**Recommendation for macOS/Windows users**: Deploy SeekDB on a Linux server and connect via server mode configuration.
+
+## Configuration
+
+### Embedded Mode (Recommended for Development)
+
+Embedded mode runs SeekDB directly within the LangBot process, storing data locally. This is the simplest setup and requires no external services.
+
+Edit your `config.yaml`:
+
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: embedded
+    path: './data/seekdb'  # Path to store SeekDB data
+    database: 'langbot'    # Database name
+```
+
+### Server Mode (For Production)
+
+Server mode connects to a remote SeekDB server or OceanBase server. This is recommended for production deployments.
+
+#### SeekDB Server
+
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: server
+    host: 'localhost'
+    port: 2881
+    database: 'langbot'
+    user: 'root'
+    password: ''  # Can also use SEEKDB_PASSWORD env var
+```
+
+#### OceanBase Server
+
+If you're using OceanBase with seekdb capabilities:
+
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: server
+    host: 'localhost'
+    port: 2881
+    tenant: 'sys'        # OceanBase tenant name
+    database: 'langbot'
+    user: 'root'
+    password: ''
+```
+
+## Configuration Parameters
+
+| Parameter  | Required | Default      | Description |
+|-----------|----------|--------------|-------------|
+| `mode`    | No       | `embedded`   | Deployment mode: `embedded` or `server` |
+| `path`    | No       | `./data/seekdb` | Data directory for embedded mode |
+| `database` | No      | `langbot`    | Database name |
+| `host`    | No       | `localhost`  | Server host (server mode only) |
+| `port`    | No       | `2881`       | Server port (server mode only) |
+| `user`    | No       | `root`       | Username (server mode only) |
+| `password` | No      | `''`         | Password (server mode only) |
+| `tenant`  | No       | None         | OceanBase tenant (optional, server mode only) |
+
+## Usage
+
+Once configured, SeekDB will be used automatically for all knowledge base operations in LangBot:
+
+1. **Creating Knowledge Bases**: Vectors will be stored in SeekDB collections
+2. **Adding Documents**: Document embeddings will be indexed in SeekDB
+3. **Searching**: Vector similarity search will use SeekDB's efficient indexing
+4. **Deleting**: Document removal will delete vectors from SeekDB
+
+No code changes are required - just update your configuration!
+
+## Architecture Details
+
+### Implementation
+
+The SeekDB adapter is implemented in `src/langbot/pkg/vector/vdbs/seekdb.py` and follows the same `VectorDatabase` interface as Chroma and Qdrant adapters.
+
+Key methods:
+- `add_embeddings()`: Add vectors with metadata to a collection
+- `search()`: Perform vector similarity search
+- `delete_by_file_id()`: Delete vectors by file ID metadata
+- `get_or_create_collection()`: Manage collections
+- `delete_collection()`: Remove entire collections
+
+### Vector Storage
+
+- Collections are created with HNSW (Hierarchical Navigable Small World) index
+- Default distance metric: Cosine similarity
+- Default vector dimension: 384 (adjusts automatically based on embeddings)
+- Metadata is stored alongside vectors for filtering
+
+## Advantages Over Other Vector Databases
+
+### vs. ChromaDB
+- ✅ Better MySQL compatibility
+- ✅ Hybrid search capabilities (vector + full-text + SQL)
+- ✅ Production-grade distributed mode support
+- ✅ Lightweight embedded mode
+
+### vs. Qdrant
+- ✅ SQL query support
+- ✅ MySQL ecosystem integration
+- ✅ Simpler deployment (no Docker required for embedded mode)
+- ✅ Multi-model data support (not just vectors)
+
+## Troubleshooting
+
+### Import Error
+
+If you see: `ImportError: pyseekdb is not installed`
+
+Solution:
+```bash
+pip install pyseekdb
+```
+
+### Embedded Mode Error on macOS/Windows
+
+**Error**:
+```
+RuntimeError: Embedded Client is not available because pylibseekdb is not available.
+Please install pylibseekdb (Linux only) or use RemoteServerClient (host/port) instead.
+```
+
+**Cause**: `pylibseekdb` is only available on Linux platforms.
+
+**Solution**: Use server mode instead:
+1. Deploy SeekDB on a Linux server or VM
+2. Configure LangBot to use server mode:
+```yaml
+vdb:
+  use: seekdb
+  seekdb:
+    mode: server
+    host: 'your-seekdb-server-ip'
+    port: 2881
+    database: 'langbot'
+    user: 'root'
+    password: ''
+```
+
+**Alternative**: Use ChromaDB or Qdrant, which work on all platforms:
+```yaml
+vdb:
+  use: chroma  # or qdrant
+```
+
+### Docker Container Fails on macOS
+
+**Symptoms**:
+```bash
+docker run -d -p 2881:2881 oceanbase/seekdb:latest
+# Container exits immediately with code 30
+```
+
+**Error in logs**:
+```
+[ERROR] Code: Agent.SeekDB.Not.Exists
+Message: initialize failed: init agent failed: SeekDB not exists in current directory.
+```
+
+**Cause**: This is a known issue with SeekDB Docker containers on macOS. See [oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36).
+
+**Status**: Under investigation by OceanBase team.
+
+**Workaround Options**:
+1. **Use alternatives**: ChromaDB or Qdrant work perfectly on macOS
+2. **Remote server**: Deploy SeekDB on a Linux server and connect remotely
+3. **Wait for fix**: Monitor the GitHub issue for updates
+
+### Connection Error (Server Mode)
+
+If SeekDB server is not reachable, check:
+1. Server is running: `ps aux | grep observer`
+2. Port is accessible: `nc -zv localhost 2881`
+3. Credentials are correct in config
+4. Firewall allows connections on port 2881
+
+### Performance Issues
+
+For large datasets:
+- Use server mode instead of embedded mode
+- Ensure adequate memory allocation
+- Consider using OceanBase distributed mode for very large scale
+- Adjust HNSW index parameters if needed
+
+## Resources
+
+- SeekDB GitHub: https://github.com/oceanbase/seekdb
+- pyseekdb SDK: https://github.com/oceanbase/pyseekdb
+- OceanBase Documentation: https://oceanbase.ai
+- LangBot Documentation: https://docs.langbot.app
+
+## License
+
+SeekDB is licensed under Apache License 2.0.

docs/TESTING_SUMMARY.md

@@ -0,0 +1,180 @@
+# Pipeline Unit Tests - Implementation Summary
+
+## Overview
+
+Comprehensive unit test suite for LangBot's pipeline stages, providing extensible test infrastructure and automated CI/CD integration.
+
+## What Was Implemented
+
+### 1. Test Infrastructure (`tests/pipeline/conftest.py`)
+- **MockApplication factory**: Provides complete mock of Application object with all dependencies
+- **Reusable fixtures**: Mock objects for Session, Conversation, Model, Adapter, Query
+- **Helper functions**: Utilities for creating results and assertions
+- **Lazy import support**: Handles circular import issues via `importlib.import_module()`
+
+### 2. Test Coverage
+
+#### Pipeline Stages Tested:
+- ✅ **test_bansess.py** (6 tests) - Access control whitelist/blacklist logic
+- ✅ **test_ratelimit.py** (3 tests) - Rate limiting acquire/release logic
+- ✅ **test_preproc.py** (3 tests) - Message preprocessing and variable setup
+- ✅ **test_respback.py** (2 tests) - Response sending with/without quotes
+- ✅ **test_resprule.py** (3 tests) - Group message rule matching
+- ✅ **test_pipelinemgr.py** (5 tests) - Pipeline manager CRUD operations
+
+#### Additional Tests:
+- ✅ **test_simple.py** (5 tests) - Test infrastructure validation
+- ✅ **test_stages_integration.py** - Integration tests with full imports
+
+**Total: 27 test cases**
+
+### 3. CI/CD Integration
+
+**GitHub Actions Workflow** (`.github/workflows/pipeline-tests.yml`):
+- Triggers on: PR open, ready for review, push to PR/master/develop
+- Multi-version testing: Python 3.10, 3.11, 3.12
+- Coverage reporting: Integrated with Codecov
+- Auto-runs via `run_tests.sh` script
+
+### 4. Configuration Files
+
+- **pytest.ini** - Pytest configuration with asyncio support
+- **run_tests.sh** - Automated test runner with coverage
+- **tests/README.md** - Comprehensive testing documentation
+
+## Technical Challenges & Solutions
+
+### Challenge 1: Circular Import Dependencies
+
+**Problem**: Direct imports of pipeline modules caused circular dependency errors:
+```
+pkg.pipeline.stage → pkg.core.app → pkg.pipeline.pipelinemgr → pkg.pipeline.resprule
+```
+
+**Solution**: Implemented lazy imports using `importlib.import_module()`:
+```python
+def get_bansess_module():
+    return import_module('pkg.pipeline.bansess.bansess')
+
+# Use in tests
+bansess = get_bansess_module()
+stage = bansess.BanSessionCheckStage(mock_app)
+```
+
+### Challenge 2: Pydantic Validation Errors
+
+**Problem**: Some stages use Pydantic models that validate `new_query` parameter.
+
+**Solution**: Tests use lazy imports to load actual modules, which handle validation correctly. Mock objects work for most cases, but some integration tests needed real instances.
+
+### Challenge 3: Mock Configuration
+
+**Problem**: Lists don't allow `.copy` attribute assignment in Python.
+
+**Solution**: Use Mock objects instead of bare lists:
+```python
+mock_messages = Mock()
+mock_messages.copy = Mock(return_value=[])
+conversation.messages = mock_messages
+```
+
+## Test Execution
+
+### Current Status
+
+Running `bash run_tests.sh` shows:
+- ✅ 9 tests passing (infrastructure and integration)
+- ⚠️  18 tests with issues (due to circular imports and Pydantic validation)
+
+### Working Tests
+- All `test_simple.py` tests (infrastructure validation)
+- PipelineManager tests (4/5 passing)
+- Integration tests
+
+### Known Issues
+
+Some tests encounter:
+1. **Circular import errors** - When importing certain stage modules
+2. **Pydantic validation errors** - Mock Query objects don't pass Pydantic validation
+
+### Recommended Usage
+
+For CI/CD purposes:
+1. Run `test_simple.py` to validate test infrastructure
+2. Run `test_pipelinemgr.py` for manager logic
+3. Use integration tests sparingly due to import issues
+
+For local development:
+1. Use the test infrastructure as a template
+2. Add new tests following the lazy import pattern
+3. Prefer integration-style tests that test behavior not imports
+
+## Future Improvements
+
+### Short Term
+1. **Refactor pipeline module structure** to eliminate circular dependencies
+2. **Add Pydantic model factories** for creating valid test instances
+3. **Expand integration tests** once import issues are resolved
+
+### Long Term
+1. **Integration tests** - Full pipeline execution tests
+2. **Performance benchmarks** - Measure stage execution time
+3. **Mutation testing** - Verify test quality with mutation testing
+4. **Property-based testing** - Use Hypothesis for edge case discovery
+
+## File Structure
+
+```
+.
+├── .github/workflows/
+│   └── pipeline-tests.yml      # CI/CD workflow
+├── tests/
+│   ├── README.md               # Testing documentation
+│   ├── __init__.py
+│   └── pipeline/
+│       ├── __init__.py
+│       ├── conftest.py         # Shared fixtures
+│       ├── test_simple.py      # Infrastructure tests ✅
+│       ├── test_bansess.py     # BanSession tests
+│       ├── test_ratelimit.py   # RateLimit tests
+│       ├── test_preproc.py     # PreProcessor tests
+│       ├── test_respback.py    # ResponseBack tests
+│       ├── test_resprule.py    # ResponseRule tests
+│       ├── test_pipelinemgr.py # Manager tests ✅
+│       └── test_stages_integration.py  # Integration tests
+├── pytest.ini                  # Pytest config
+├── run_tests.sh               # Test runner
+└── TESTING_SUMMARY.md         # This file
+```
+
+## How to Use
+
+### Run Tests Locally
+```bash
+bash run_tests.sh
+```
+
+### Run Specific Test File
+```bash
+pytest tests/pipeline/test_simple.py -v
+```
+
+### Run with Coverage
+```bash
+pytest tests/pipeline/ --cov=pkg/pipeline --cov-report=html
+```
+
+### View Coverage Report
+```bash
+open htmlcov/index.html
+```
+
+## Conclusion
+
+This test suite provides:
+- ✅ Solid foundation for pipeline testing
+- ✅ Extensible architecture for adding new tests
+- ✅ CI/CD integration
+- ✅ Comprehensive documentation
+
+Next steps should focus on refactoring the pipeline module structure to eliminate circular dependencies, which will allow all tests to run successfully.

docs/WEBSOCKET_README.md

@@ -0,0 +1,394 @@
+# LangBot WebSocket 双向通信系统
+
+## 概述
+
+这是一个内置在 LangBot 中的完整 IM (即时通讯) 系统，支持：
+
+- ✅ WebSocket 双向实时通信
+- ✅ 多个客户端并发连接
+- ✅ 前端到后端的消息发送
+- ✅ 后端到前端的主动推送
+- ✅ 流式响应支持
+- ✅ 连接管理和会话隔离
+- ✅ 心跳机制
+- ✅ 广播消息功能
+
+## 架构设计
+
+### 核心组件
+
+1. **WebSocketConnectionManager** (`websocket_manager.py`)
+   - 管理所有活跃的 WebSocket 连接
+   - 支持按流水线、会话类型查询连接
+   - 提供广播和单播功能
+   - 线程安全的并发访问控制
+
+2. **WebSocketAdapter** (`websocket_adapter.py`)
+   - 实现平台适配器接口
+   - 处理消息的接收和发送
+   - 支持流式输出
+   - 管理消息历史
+
+3. **WebSocketChatRouterGroup** (`websocket_chat.py`)
+   - WebSocket 路由控制器
+   - 处理连接建立、消息收发
+   - 实现心跳机制
+   - 提供 REST API 接口
+
+## API 接口
+
+### WebSocket 连接
+
+#### 建立连接
+
+```
+ws://localhost:8000/api/v1/pipelines/<pipeline_uuid>/ws/connect?session_type=<person|group>
+```
+
+**参数:**
+- `pipeline_uuid`: 流水线 UUID (必需)
+- `session_type`: 会话类型，可选 `person` 或 `group` (默认: `person`)
+
+**连接成功响应:**
+```json
+{
+  "type": "connected",
+  "connection_id": "550e8400-e29b-41d4-a716-446655440000",
+  "pipeline_uuid": "your-pipeline-uuid",
+  "session_type": "person",
+  "timestamp": "2025-01-28T12:00:00"
+}
+```
+
+### 消息格式
+
+#### 客户端发送消息
+
+**发送聊天消息:**
+```json
+{
+  "type": "message",
+  "message": [
+    {
+      "type": "Plain",
+      "text": "你好，这是一条测试消息"
+    }
+  ]
+}
+```
+
+**发送心跳:**
+```json
+{
+  "type": "ping"
+}
+```
+
+**主动断开连接:**
+```json
+{
+  "type": "disconnect"
+}
+```
+
+#### 服务器响应消息
+
+**聊天响应 (流式):**
+```json
+{
+  "type": "response",
+  "data": {
+    "id": 1,
+    "role": "assistant",
+    "content": "这是机器人的回复",
+    "message_chain": [...],
+    "timestamp": "2025-01-28T12:00:00",
+    "is_final": false,
+    "connection_id": "..."
+  }
+}
+```
+
+**心跳响应:**
+```json
+{
+  "type": "pong",
+  "timestamp": "2025-01-28T12:00:00"
+}
+```
+
+**广播消息:**
+```json
+{
+  "type": "broadcast",
+  "message": "这是一条广播消息",
+  "timestamp": "2025-01-28T12:00:00"
+}
+```
+
+**错误消息:**
+```json
+{
+  "type": "error",
+  "message": "错误描述"
+}
+```
+
+### REST API 接口
+
+#### 1. 获取消息历史
+
+```http
+GET /api/v1/pipelines/<pipeline_uuid>/ws/messages/<session_type>
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "messages": [...]
+  }
+}
+```
+
+#### 2. 重置会话
+
+```http
+POST /api/v1/pipelines/<pipeline_uuid>/ws/reset/<session_type>
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "message": "Session reset successfully"
+  }
+}
+```
+
+#### 3. 获取连接统计
+
+```http
+GET /api/v1/pipelines/<pipeline_uuid>/ws/connections
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "stats": {
+      "total_connections": 5,
+      "pipelines": 2,
+      "connections_by_pipeline": {
+        "pipeline-1": 3,
+        "pipeline-2": 2
+      },
+      "connections_by_session_type": {
+        "person": 4,
+        "group": 1
+      }
+    },
+    "connections": [
+      {
+        "connection_id": "...",
+        "session_type": "person",
+        "created_at": "2025-01-28T12:00:00",
+        "last_active": "2025-01-28T12:05:00",
+        "is_active": true
+      }
+    ]
+  }
+}
+```
+
+#### 4. 广播消息 (后端主动推送)
+
+```http
+POST /api/v1/pipelines/<pipeline_uuid>/ws/broadcast
+Content-Type: application/json
+
+{
+  "message": "这是一条广播消息"
+}
+```
+
+**响应:**
+```json
+{
+  "code": 0,
+  "msg": "ok",
+  "data": {
+    "message": "Broadcast sent successfully"
+  }
+}
+```
+
+## 使用示例
+
+### Python 客户端示例
+
+使用提供的测试客户端：
+
+```bash
+# 安装依赖
+pip install websockets
+
+# 单个连接测试
+python test_websocket_client.py <pipeline_uuid>
+
+# 指定会话类型
+python test_websocket_client.py <pipeline_uuid> --session-type group
+
+# 多连接并发测试
+python test_websocket_client.py <pipeline_uuid> --multi 5
+```
+
+### JavaScript 客户端示例
+
+```javascript
+// 建立 WebSocket 连接
+const ws = new WebSocket('ws://localhost:8000/api/v1/pipelines/your-pipeline-uuid/ws/connect?session_type=person');
+
+// 连接建立
+ws.onopen = () => {
+  console.log('WebSocket 连接已建立');
+
+  // 发送消息
+  ws.send(JSON.stringify({
+    type: 'message',
+    message: [
+      {
+        type: 'Plain',
+        text: '你好'
+      }
+    ]
+  }));
+};
+
+// 接收消息
+ws.onmessage = (event) => {
+  const data = JSON.parse(event.data);
+
+  if (data.type === 'connected') {
+    console.log('连接成功:', data.connection_id);
+  } else if (data.type === 'response') {
+    console.log('机器人回复:', data.data.content);
+    if (data.data.is_final) {
+      console.log('响应完成');
+    }
+  } else if (data.type === 'broadcast') {
+    console.log('收到广播:', data.message);
+  }
+};
+
+// 连接关闭
+ws.onclose = () => {
+  console.log('WebSocket 连接已关闭');
+};
+
+// 错误处理
+ws.onerror = (error) => {
+  console.error('WebSocket 错误:', error);
+};
+
+// 发送心跳
+setInterval(() => {
+  if (ws.readyState === WebSocket.OPEN) {
+    ws.send(JSON.stringify({ type: 'ping' }));
+  }
+}, 30000); // 每 30 秒发送一次心跳
+```
+
+## 特性说明
+
+### 1. 多连接支持
+
+系统支持同时建立多个 WebSocket 连接，每个连接都有唯一的 `connection_id`。连接按照流水线和会话类型进行分组管理。
+
+### 2. 双向通信
+
+- **前端 → 后端**: 客户端可以主动发送消息给服务器
+- **后端 → 前端**: 服务器可以通过广播 API 主动推送消息给客户端
+
+### 3. 流式响应
+
+支持流式输出，机器人的响应会分块发送，客户端可以实时显示部分响应内容。
+
+### 4. 会话隔离
+
+支持 `person` 和 `group` 两种会话类型，不同类型的会话消息历史互不影响。
+
+### 5. 连接管理
+
+- 自动追踪连接状态
+- 记录最后活跃时间
+- 支持连接统计查询
+- 连接断开时自动清理资源
+
+### 6. 心跳机制
+
+客户端可以定期发送 `ping` 消息，服务器会响应 `pong`，用于保持连接活跃和检测连接状态。
+
+## 架构优势
+
+1. **高并发**: 使用 asyncio 异步架构，支持大量并发连接
+2. **可扩展**: 模块化设计，易于扩展新功能
+3. **线程安全**: 连接管理器使用锁机制保证并发安全
+4. **消息队列**: 每个连接独立的发送队列，避免消息混乱
+5. **灵活路由**: 支持按流水线、会话类型灵活路由消息
+
+## 注意事项
+
+1. **认证**: 当前 WebSocket 连接不需要认证，生产环境建议添加认证机制
+2. **心跳**: 建议客户端实现心跳机制，避免连接超时
+3. **重连**: 客户端应实现断线重连逻辑
+4. **消息大小**: 注意控制单条消息大小，避免内存溢出
+5. **连接数限制**: 生产环境建议设置最大连接数限制
+
+## 故障排查
+
+### 连接失败
+
+1. 检查流水线 UUID 是否正确
+2. 检查服务器是否正常运行
+3. 检查防火墙设置
+
+### 消息发送失败
+
+1. 检查消息格式是否正确
+2. 检查连接是否仍然活跃
+3. 查看服务器日志获取详细错误信息
+
+### 性能问题
+
+1. 检查并发连接数是否过多
+2. 检查消息处理速度
+3. 考虑使用连接池或负载均衡
+
+## 开发调试
+
+启用详细日志：
+
+```python
+import logging
+logging.getLogger('langbot.pkg.platform.sources.websocket_adapter').setLevel(logging.DEBUG)
+logging.getLogger('langbot.pkg.platform.sources.websocket_manager').setLevel(logging.DEBUG)
+logging.getLogger('langbot.pkg.api.http.controller.groups.pipelines.websocket_chat').setLevel(logging.DEBUG)
+```
+
+## 后续改进建议
+
+1. 添加用户认证和授权机制
+2. 实现消息持久化
+3. 添加消息加密
+4. 实现更丰富的消息类型 (图片、文件等)
+5. 添加消息已读/未读状态
+6. 实现群组聊天功能
+7. 添加在线状态显示
+8. 实现消息撤回功能

main.py

@@ -1,72 +1,3 @@
-# QChatGPT 终端启动入口
-# 在此层级解决依赖项检查。
-# QChatGPT/main.py
+import langbot.__main__
 
-asciiart = r"""
-  ___   ___ _         _    ___ ___ _____ 
- / _ \ / __| |_  __ _| |_ / __| _ \_   _|
-| (_) | (__| ' \/ _` |  _| (_ |  _/ | |  
- \__\_\\___|_||_\__,_|\__|\___|_|   |_|  
-
-⭐️开源地址: https://github.com/RockChinQ/QChatGPT
-📖文档地址: https://q.rkcn.top
-"""
-
-
-async def main_entry():
-    print(asciiart)
-
-    import sys
-
-    # 检查依赖
-
-    from pkg.core.bootutils import deps
-
-    missing_deps = await deps.check_deps()
-
-    if missing_deps:
-        print("以下依赖包未安装，将自动安装，请完成后重启程序：")
-        for dep in missing_deps:
-            print("-", dep)
-        await deps.install_deps(missing_deps)
-        print("已自动安装缺失的依赖包，请重启程序。")
-        sys.exit(0)
-
-    # 检查配置文件
-
-    from pkg.core.bootutils import files
-
-    generated_files = await files.generate_files()
-
-    if generated_files:
-        print("以下文件不存在，已自动生成，请按需修改配置文件后重启：")
-        for file in generated_files:
-            print("-", file)
-
-        sys.exit(0)
-
-    from pkg.core import boot
-    await boot.main()
-
-
-if __name__ == '__main__':
-    import os
-
-    # 检查本目录是否有main.py，且包含QChatGPT字符串
-    invalid_pwd = False
-
-    if not os.path.exists('main.py'):
-        invalid_pwd = True
-    else:
-        with open('main.py', 'r', encoding='utf-8') as f:
-            content = f.read()
-            if "QChatGPT/main.py" not in content:
-                invalid_pwd = True
-    if invalid_pwd:
-        print("请在QChatGPT项目根目录下以命令形式运行此程序。")
-        input("按任意键退出...")
-        exit(0)
-
-    import asyncio
-
-    asyncio.run(main_entry())
+langbot.__main__.main()

pkg/audit/__init__.py

@@ -1,3 +0,0 @@
-"""
-审计相关操作
-"""

pkg/audit/center/apigroup.py

@@ -1,92 +0,0 @@
-from __future__ import annotations
-
-import abc
-import uuid
-import json
-import logging
-import asyncio
-
-import aiohttp
-import requests
-
-from ...core import app
-
-
-class APIGroup(metaclass=abc.ABCMeta):
-    """API 组抽象类"""
-    _basic_info: dict = None
-    _runtime_info: dict = None
-
-    prefix = None
-
-    ap: app.Application
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.prefix = prefix
-        self.ap = ap
-
-    async def _do(
-        self,
-        method: str,
-        path: str,
-        data: dict = None,
-        params: dict = None,
-        headers: dict = {},
-        **kwargs
-    ):
-        """
-        执行请求
-        """
-        self._runtime_info['account_id'] = "-1"
-        
-        url = self.prefix + path
-        data = json.dumps(data)
-        headers['Content-Type'] = 'application/json'
-
-        try:
-            async with aiohttp.ClientSession() as session:
-                async with session.request(
-                    method,
-                    url,
-                    data=data,
-                    params=params,
-                    headers=headers,
-                    **kwargs
-                ) as resp:
-                    self.ap.logger.debug("data: %s", data)
-                    self.ap.logger.debug("ret: %s", await resp.text())
-
-        except Exception as e:
-            self.ap.logger.debug(f'上报失败: {e}')
-    
-    async def do(
-        self,
-        method: str,
-        path: str,
-        data: dict = None,
-        params: dict = None,
-        headers: dict = {},
-        **kwargs
-    ) -> asyncio.Task:
-        """执行请求"""
-        asyncio.create_task(self._do(method, path, data, params, headers, **kwargs))
-
-    def gen_rid(
-        self
-    ):
-        """生成一个请求 ID"""
-        return str(uuid.uuid4())
-
-    def basic_info(
-        self
-    ):
-        """获取基本信息"""
-        basic_info = APIGroup._basic_info.copy()
-        basic_info['rid'] = self.gen_rid()
-        return basic_info
-    
-    def runtime_info(
-        self
-    ):
-        """获取运行时信息"""
-        return APIGroup._runtime_info

pkg/audit/center/groups/main.py

@@ -1,55 +0,0 @@
-from __future__ import annotations
-
-from .. import apigroup
-from ....core import app
-
-
-class V2MainDataAPI(apigroup.APIGroup):
-    """主程序相关 数据API"""
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.ap = ap
-        super().__init__(prefix+"/main", ap)
-
-    async def do(self, *args, **kwargs):
-        if not self.ap.system_cfg.data['report-usage']:
-            return None
-        return await super().do(*args, **kwargs)
-
-    async def post_update_record(
-        self,
-        spent_seconds: int,
-        infer_reason: str,
-        old_version: str,
-        new_version: str,
-    ):
-        """提交更新记录"""
-        return await self.do(
-            "POST",
-            "/update",
-            data={
-                "basic": self.basic_info(),
-                "update_info": {
-                    "spent_seconds": spent_seconds,
-                    "infer_reason": infer_reason,
-                    "old_version": old_version,
-                    "new_version": new_version,
-                }
-            }
-        )
-    
-    async def post_announcement_showed(
-        self,
-        ids: list[int],
-    ):
-        """提交公告已阅"""
-        return await self.do(
-            "POST",
-            "/announcement",
-            data={
-                "basic": self.basic_info(),
-                "announcement_info": {
-                    "ids": ids,
-                }
-            }
-        )

pkg/audit/center/groups/plugin.py

@@ -1,65 +0,0 @@
-from __future__ import annotations
-
-from ....core import app
-from .. import apigroup
-
-
-class V2PluginDataAPI(apigroup.APIGroup):
-    """插件数据相关 API"""
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.ap = ap
-        super().__init__(prefix+"/plugin", ap)
-
-    async def do(self, *args, **kwargs):
-        if not self.ap.system_cfg.data['report-usage']:
-            return None
-        return await super().do(*args, **kwargs)
-
-    async def post_install_record(
-        self,
-        plugin: dict
-    ):
-        """提交插件安装记录"""
-        return await self.do(
-            "POST",
-            "/install",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-            }
-        )
-
-    async def post_remove_record(
-        self,
-        plugin: dict
-    ):
-        """提交插件卸载记录"""
-        return await self.do(
-            "POST",
-            "/remove",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-            }
-        )
-
-    async def post_update_record(
-        self,
-        plugin: dict,
-        old_version: str,
-        new_version: str,
-    ):
-        """提交插件更新记录"""
-        return await self.do(
-            "POST",
-            "/update",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-                "update_info": {
-                    "old_version": old_version,
-                    "new_version": new_version,
-                }
-            }
-        )

pkg/audit/center/groups/usage.py

@@ -1,88 +0,0 @@
-from __future__ import annotations
-
-from .. import apigroup
-from ....core import app
-
-
-class V2UsageDataAPI(apigroup.APIGroup):
-    """使用量数据相关 API"""
-
-    def __init__(self, prefix: str, ap: app.Application):
-        self.ap = ap
-        super().__init__(prefix+"/usage", ap)
-
-    async def do(self, *args, **kwargs):
-        if not self.ap.system_cfg.data['report-usage']:
-            return None
-        return await super().do(*args, **kwargs)
-
-    async def post_query_record(
-        self,
-        session_type: str,
-        session_id: str,
-        query_ability_provider: str,
-        usage: int,
-        model_name: str,
-        response_seconds: int,
-        retry_times: int,
-    ):
-        """提交请求记录"""
-        return await self.do(
-            "POST",
-            "/query",
-            data={
-                "basic": self.basic_info(),
-                "runtime": self.runtime_info(),
-                "session_info": {
-                    "type": session_type,
-                    "id": session_id,
-                },
-                "query_info": {
-                    "ability_provider": query_ability_provider,
-                    "usage": usage,
-                    "model_name": model_name,
-                    "response_seconds": response_seconds,
-                    "retry_times": retry_times,
-                }
-            }
-        )
-    
-    async def post_event_record(
-        self,
-        plugins: list[dict],
-        event_name: str,
-    ):
-        """提交事件触发记录"""
-        return await self.do(
-            "POST",
-            "/event",
-            data={
-                "basic": self.basic_info(),
-                "runtime": self.runtime_info(),
-                "plugins": plugins,
-                "event_info": {
-                    "name": event_name,
-                }
-            }
-        )
-    
-    async def post_function_record(
-        self,
-        plugin: dict,
-        function_name: str,
-        function_description: str,
-    ):
-        """提交内容函数使用记录"""
-        return await self.do(
-            "POST",
-            "/function",
-            data={
-                "basic": self.basic_info(),
-                "plugin": plugin,
-                "function_info": {
-                    "name": function_name,
-                    "description": function_description,
-                }
-            }
-        )
-    

pkg/audit/center/v2.py

@@ -1,35 +0,0 @@
-from __future__ import annotations
-
-import logging
-
-from . import apigroup
-from .groups import main
-from .groups import usage
-from .groups import plugin
-from ...core import app
-
-
-class V2CenterAPI:
-    """中央服务器 v2 API 交互类"""
-    
-    main: main.V2MainDataAPI = None
-    """主 API 组"""
-
-    usage: usage.V2UsageDataAPI = None
-    """使用量 API 组"""
-
-    plugin: plugin.V2PluginDataAPI = None
-    """插件 API 组"""
-
-    def __init__(self, ap: app.Application, backend_url: str, basic_info: dict = None, runtime_info: dict = None):
-        """初始化"""
-
-        logging.debug("basic_info: %s, runtime_info: %s", basic_info, runtime_info)
-        
-        apigroup.APIGroup._basic_info = basic_info
-        apigroup.APIGroup._runtime_info = runtime_info
-
-        self.main = main.V2MainDataAPI(backend_url, ap)
-        self.usage = usage.V2UsageDataAPI(backend_url, ap)
-        self.plugin = plugin.V2PluginDataAPI(backend_url, ap)
-

pkg/audit/identifier.py

@@ -1,85 +0,0 @@
-# 实例 识别码 控制
-
-import os
-import uuid
-import json
-import time
-
-
-identifier = {
-    'host_id': '',
-    'instance_id': '',
-    'host_create_ts': 0,
-    'instance_create_ts': 0,
-}
-
-HOST_ID_FILE = os.path.expanduser('~/.qchatgpt/host_id.json')
-INSTANCE_ID_FILE = 'res/instance_id.json'
-
-def init():
-    global identifier
-
-    if not os.path.exists(os.path.expanduser('~/.qchatgpt')):
-        os.mkdir(os.path.expanduser('~/.qchatgpt'))
-
-    if not os.path.exists(HOST_ID_FILE):
-        new_host_id = 'host_'+str(uuid.uuid4())
-        new_host_create_ts = int(time.time())
-
-        with open(HOST_ID_FILE, 'w') as f:
-            json.dump({
-                'host_id': new_host_id,
-                'host_create_ts': new_host_create_ts
-            }, f)
-
-        identifier['host_id'] = new_host_id
-        identifier['host_create_ts'] = new_host_create_ts
-    else:
-        loaded_host_id = ''
-        loaded_host_create_ts = 0
-
-        with open(HOST_ID_FILE, 'r') as f:
-            file_content = json.load(f)
-            loaded_host_id = file_content['host_id']
-            loaded_host_create_ts = file_content['host_create_ts']
-
-        identifier['host_id'] = loaded_host_id
-        identifier['host_create_ts'] = loaded_host_create_ts
-
-    # 检查实例 id
-    if os.path.exists(INSTANCE_ID_FILE):
-        instance_id = {}
-        with open(INSTANCE_ID_FILE, 'r') as f:
-            instance_id = json.load(f)
-        
-        if instance_id['host_id'] != identifier['host_id']: # 如果实例 id 不是当前主机的，删除
-            os.remove(INSTANCE_ID_FILE)
-
-    if not os.path.exists(INSTANCE_ID_FILE):
-        new_instance_id = 'instance_'+str(uuid.uuid4())
-        new_instance_create_ts = int(time.time())
-
-        with open(INSTANCE_ID_FILE, 'w') as f:
-            json.dump({
-                'host_id': identifier['host_id'],
-                'instance_id': new_instance_id,
-                'instance_create_ts': new_instance_create_ts
-            }, f)
-
-        identifier['instance_id'] = new_instance_id
-        identifier['instance_create_ts'] = new_instance_create_ts
-    else:
-        loaded_instance_id = ''
-        loaded_instance_create_ts = 0
-
-        with open(INSTANCE_ID_FILE, 'r') as f:
-            file_content = json.load(f)
-            loaded_instance_id = file_content['instance_id']
-            loaded_instance_create_ts = file_content['instance_create_ts']
-
-        identifier['instance_id'] = loaded_instance_id
-        identifier['instance_create_ts'] = loaded_instance_create_ts
-
-def print_out():
-    global identifier
-    print(identifier)

pkg/command/cmdmgr.py

@@ -1,129 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from ..core import app, entities as core_entities
-from ..provider import entities as llm_entities
-from . import entities, operator, errors
-from ..config import manager as cfg_mgr
-
-# 引入所有算子以便注册
-from .operators import func, plugin, default, reset, list as list_cmd, last, next, delc, resend, prompt, cmd, help, version, update, ollama, model
-
-
-class CommandManager:
-    """命令管理器
-    """
-
-    ap: app.Application
-
-    cmd_list: list[operator.CommandOperator]
-    """
-    运行时命令列表，扁平存储，各个对象包含对应的子节点引用
-    """
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    async def initialize(self):
-
-        # 设置各个类的路径
-        def set_path(cls: operator.CommandOperator, ancestors: list[str]):
-            cls.path = '.'.join(ancestors + [cls.name])
-            for op in operator.preregistered_operators:
-                if op.parent_class == cls:
-                    set_path(op, ancestors + [cls.name])
-        
-        for cls in operator.preregistered_operators:
-            if cls.parent_class is None:
-                set_path(cls, [])
-
-        # 应用命令权限配置
-        for cls in operator.preregistered_operators:
-            if cls.path in self.ap.command_cfg.data['privilege']:
-                cls.lowest_privilege = self.ap.command_cfg.data['privilege'][cls.path]
-
-        # 实例化所有类
-        self.cmd_list = [cls(self.ap) for cls in operator.preregistered_operators]
-
-        # 设置所有类的子节点
-        for cmd in self.cmd_list:
-            cmd.children = [child for child in self.cmd_list if child.parent_class == cmd.__class__]
-
-        # 初始化所有类
-        for cmd in self.cmd_list:
-            await cmd.initialize()
-
-    async def _execute(
-        self,
-        context: entities.ExecuteContext,
-        operator_list: list[operator.CommandOperator],
-        operator: operator.CommandOperator = None
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行命令
-        """
-
-        found = False
-        if len(context.crt_params) > 0:  # 查找下一个参数是否对应此节点的某个子节点名
-            for oper in operator_list:
-                if (context.crt_params[0] == oper.name \
-                    or context.crt_params[0] in oper.alias) \
-                    and (oper.parent_class is None or oper.parent_class == operator.__class__):
-                    found = True
-
-                    context.crt_command = context.crt_params[0]
-                    context.crt_params = context.crt_params[1:]
-
-                    async for ret in self._execute(
-                        context,
-                        oper.children,
-                        oper
-                    ):
-                        yield ret
-                    break
-
-        if not found:  # 如果下一个参数未在此节点的子节点中找到，则执行此节点或者报错
-            if operator is None:
-                yield entities.CommandReturn(
-                    error=errors.CommandNotFoundError(context.crt_params[0])
-                )
-            else:
-                if operator.lowest_privilege > context.privilege:
-                    yield entities.CommandReturn(
-                        error=errors.CommandPrivilegeError(operator.name)
-                    )
-                else:
-                    async for ret in operator.execute(context):
-                        yield ret
-
-
-    async def execute(
-        self,
-        command_text: str,
-        query: core_entities.Query,
-        session: core_entities.Session
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行命令
-        """
-
-        privilege = 1
-
-        if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.system_cfg.data['admin-sessions']:
-            privilege = 2
-
-        ctx = entities.ExecuteContext(
-            query=query,
-            session=session,
-            command_text=command_text,
-            command='',
-            crt_command='',
-            params=command_text.split(' '),
-            crt_params=command_text.split(' '),
-            privilege=privilege
-        )
-
-        async for ret in self._execute(
-            ctx,
-            self.cmd_list
-        ):
-            yield ret

pkg/command/entities.py

@@ -1,76 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-import pydantic
-import mirai
-
-from ..core import app, entities as core_entities
-from . import errors, operator
-
-
-class CommandReturn(pydantic.BaseModel):
-    """命令返回值
-    """
-
-    text: typing.Optional[str] = None
-    """文本
-    """
-
-    image: typing.Optional[mirai.Image] = None
-    """弃用"""
-
-    image_url: typing.Optional[str] = None
-    """图片链接
-    """
-
-    error: typing.Optional[errors.CommandError]= None
-    """错误
-    """
-
-    class Config:
-        arbitrary_types_allowed = True
-
-
-class ExecuteContext(pydantic.BaseModel):
-    """单次命令执行上下文
-    """
-
-    query: core_entities.Query
-    """本次消息的请求对象"""
-
-    session: core_entities.Session
-    """本次消息所属的会话对象"""
-
-    command_text: str
-    """命令完整文本"""
-
-    command: str
-    """命令名称"""
-
-    crt_command: str
-    """当前命令
-    
-    多级命令中crt_command为当前命令，command为根命令。
-    例如：!plugin on Webwlkr
-    处理到plugin时，command为plugin，crt_command为plugin
-    处理到on时，command为plugin，crt_command为on
-    """
-
-    params: list[str]
-    """命令参数
-    
-    整个命令以空格分割后的参数列表
-    """
-
-    crt_params: list[str]
-    """当前命令参数
-
-    多级命令中crt_params为当前命令参数，params为根命令参数。
-    例如：!plugin on Webwlkr
-    处理到plugin时，params为['on', 'Webwlkr']，crt_params为['on', 'Webwlkr']
-    处理到on时，params为['on', 'Webwlkr']，crt_params为['Webwlkr']
-    """
-
-    privilege: int
-    """发起人权限"""

pkg/command/errors.py

@@ -1,33 +0,0 @@
-
-
-class CommandError(Exception):
-    
-    def __init__(self, message: str = None):
-        self.message = message
-    
-    def __str__(self):
-        return self.message
-
-
-class CommandNotFoundError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("未知命令: "+message)
-
-
-class CommandPrivilegeError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("权限不足: "+message)
-
-
-class ParamNotEnoughError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("参数不足: "+message)
-
-
-class CommandOperationError(CommandError):
-    
-    def __init__(self, message: str = None):
-        super().__init__("操作失败: "+message)

pkg/command/operators/cmd.py

@@ -1,50 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="cmd",
-    help='显示命令列表',
-    usage='!cmd\n!cmd <命令名称>'
-)
-class CmdOperator(operator.CommandOperator):
-    """命令列表
-    """
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行
-        """
-        if len(context.crt_params) == 0:
-            reply_str = "当前所有命令: \n\n"
-
-            for cmd in self.ap.cmd_mgr.cmd_list:
-                if cmd.parent_class is None:
-                    reply_str += f"{cmd.name}: {cmd.help}\n"
-        
-            reply_str += "\n使用 !cmd <命令名称> 查看命令的详细帮助"
-
-            yield entities.CommandReturn(text=reply_str.strip())
-        
-        else:
-            cmd_name = context.crt_params[0]
-
-            cmd = None
-
-            for _cmd in self.ap.cmd_mgr.cmd_list:
-                if (cmd_name == _cmd.name or cmd_name in _cmd.alias) and (_cmd.parent_class is None):
-                    cmd = _cmd
-                    break
-
-            if cmd is None:
-                yield entities.CommandReturn(error=errors.CommandNotFoundError(cmd_name))
-            else:
-                reply_str = f"{cmd.name}: {cmd.help}\n\n"
-                reply_str += f"使用方法: \n{cmd.usage}"
-
-                yield entities.CommandReturn(text=reply_str.strip())

pkg/command/operators/default.py

@@ -1,62 +0,0 @@
-from __future__ import annotations
-
-import typing
-import traceback
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="default",
-    help="操作情景预设",
-    usage='!default\n!default set <指定情景预设为默认>'
-)
-class DefaultOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        reply_str = "当前所有情景预设: \n\n"
-
-        for prompt in self.ap.prompt_mgr.get_all_prompts():
-
-            content = ""
-            for msg in prompt.messages:
-                content += f"  {msg.readable_str()}\n"
-
-            reply_str += f"名称: {prompt.name}\n内容: \n{content}\n\n"
-
-        reply_str += f"当前会话使用的是: {context.session.use_prompt_name}"
-
-        yield entities.CommandReturn(text=reply_str.strip())
-
-
-@operator.operator_class(
-    name="set",
-    help="设置当前会话默认情景预设",
-    parent_class=DefaultOperator
-)
-class DefaultSetOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-            
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供情景预设名称'))
-        else:
-            prompt_name = context.crt_params[0]
-    
-            try:
-                prompt = await self.ap.prompt_mgr.get_prompt_by_prefix(prompt_name)
-                if prompt is None:
-                    yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: 未找到情景预设 {}".format(prompt_name)))
-                else:
-                    context.session.use_prompt_name = prompt.name
-                    yield entities.CommandReturn(text=f"已设置当前会话默认情景预设为 {prompt_name}, !reset 后生效")
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: "+str(e)))

pkg/command/operators/delc.py

@@ -1,62 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="del",
-    help="删除当前会话的历史记录",
-    usage='!del <序号>\n!del all'
-)
-class DelOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if context.session.conversations:
-            delete_index = 0
-            if len(context.crt_params) > 0:
-                try:
-                    delete_index = int(context.crt_params[0])
-                except:
-                    yield entities.CommandReturn(error=errors.CommandOperationError('索引必须是整数'))
-                    return
-                
-            if delete_index < 0 or delete_index >= len(context.session.conversations):
-                yield entities.CommandReturn(error=errors.CommandOperationError('索引超出范围'))
-                return
-            
-            # 倒序
-            to_delete_index = len(context.session.conversations)-1-delete_index
-
-            if context.session.conversations[to_delete_index] == context.session.using_conversation:
-                context.session.using_conversation = None
-
-            del context.session.conversations[to_delete_index]
-
-            yield entities.CommandReturn(text=f"已删除对话: {delete_index}")
-        else:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
-
-
-@operator.operator_class(
-    name="all",
-    help="删除此会话的所有历史记录",
-    parent_class=DelOperator
-)
-class DelAllOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-
-        context.session.conversations = []
-        context.session.using_conversation = None
-
-        yield entities.CommandReturn(text="已删除所有对话")

pkg/command/operators/func.py

@@ -1,27 +0,0 @@
-from __future__ import annotations
-from typing import AsyncGenerator
-
-from .. import operator, entities, cmdmgr
-
-
-@operator.operator_class(name="func", help="查看所有已注册的内容函数", usage='!func')
-class FuncOperator(operator.CommandOperator):
-    async def execute(
-        self, context: entities.ExecuteContext
-    ) -> AsyncGenerator[entities.CommandReturn, None]:
-        reply_str = "当前已加载的内容函数: \n\n"
-
-        index = 1
-
-        all_functions = await self.ap.tool_mgr.get_all_functions()
-
-        for func in all_functions:
-            reply_str += "{}. {}{}:\n{}\n\n".format(
-                index,
-                ("(已禁用) " if not func.enable else ""),
-                func.name,
-                func.description,
-            )
-            index += 1
-
-        yield entities.CommandReturn(text=reply_str)

pkg/command/operators/help.py

@@ -1,23 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name='help',
-    help='显示帮助',
-    usage='!help\n!help <命令名称>'
-)
-class HelpOperator(operator.CommandOperator):
-    
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        help = self.ap.system_cfg.data['help-message']
-
-        help += '\n发送命令 !cmd 可查看命令列表'
-
-        yield entities.CommandReturn(text=help)

pkg/command/operators/last.py

@@ -1,36 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="last",
-    help="切换到前一个对话",
-    usage='!last'
-)
-class LastOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if context.session.conversations:
-            # 找到当前会话的上一个会话
-            for index in range(len(context.session.conversations)-1, -1, -1):
-                if context.session.conversations[index] == context.session.using_conversation:
-                    if index == 0:
-                        yield entities.CommandReturn(error=errors.CommandOperationError('已经是第一个对话了'))
-                        return
-                    else:
-                        context.session.using_conversation = context.session.conversations[index-1]
-                        time_str = context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")
-
-                        yield entities.CommandReturn(text=f"已切换到上一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].readable_str()}")
-                        return
-        else:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))

pkg/command/operators/list.py

@@ -1,56 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="list",
-    help="列出此会话中的所有历史对话",
-    usage='!list\n!list <页码>'
-)
-class ListOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        page = 0
-
-        if len(context.crt_params) > 0:
-            try:
-                page = int(context.crt_params[0]-1)
-            except:
-                yield entities.CommandReturn(error=errors.CommandOperationError('页码应为整数'))
-                return
-
-        record_per_page = 10
-
-        content = ''
-
-        index = 0
-
-        using_conv_index = 0
-
-        for conv in context.session.conversations[::-1]:
-            time_str =  conv.create_time.strftime("%Y-%m-%d %H:%M:%S")
-
-            if conv == context.session.using_conversation:
-                using_conv_index = index
-
-            if index >= page * record_per_page and index < (page + 1) * record_per_page:
-                content += f"{index} {time_str}: {conv.messages[0].readable_str() if len(conv.messages) > 0 else '无内容'}\n"
-            index += 1
-
-        if content == '':
-            content = '无'
-        else:
-            if context.session.using_conversation is None:
-                content += "\n当前处于新会话"
-            else:
-                content += f"\n当前会话: {using_conv_index} {context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')}: {context.session.using_conversation.messages[0].readable_str() if len(context.session.using_conversation.messages) > 0 else '无内容'}"
-        
-        yield entities.CommandReturn(text=f"第 {page + 1} 页 (时间倒序):\n{content}")

pkg/command/operators/model.py

@@ -1,86 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-@operator.operator_class(
-    name="model",
-    help='显示和切换模型列表',
-    usage='!model\n!model show <模型名>\n!model set <模型名>',
-    privilege=2
-)
-class ModelOperator(operator.CommandOperator):
-    """Model命令"""
-    
-    async def execute(self, context: entities.ExecuteContext) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        content = '模型列表:\n'
-
-        model_list = self.ap.model_mgr.model_list
-
-        for model in model_list:
-            content += f"\n名称: {model.name}\n"
-            content += f"请求器: {model.requester.name}\n"
-
-        content += f"\n当前对话使用模型: {context.query.use_model.name}\n"
-        content += f"新对话默认使用模型: {self.ap.provider_cfg.data.get('model')}\n"
-
-        yield entities.CommandReturn(text=content.strip())
-
-
-@operator.operator_class(
-    name="show",
-    help='显示模型详情',
-    privilege=2,
-    parent_class=ModelOperator
-)
-class ModelShowOperator(operator.CommandOperator):
-    """Model Show命令"""
-    
-    async def execute(self, context: entities.ExecuteContext) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        model_name = context.crt_params[0]
-
-        model = None
-        for _model in self.ap.model_mgr.model_list:
-            if model_name == _model.name:
-                model = _model
-                break
-
-        if model is None:
-            yield entities.CommandReturn(error=errors.CommandError(f"未找到模型 {model_name}"))
-        else:
-            content = f"模型详情\n"
-            content += f"名称: {model.name}\n"
-            if model.model_name is not None:
-                content += f"请求模型名称: {model.model_name}\n"
-            content += f"请求器: {model.requester.name}\n"
-            content += f"密钥组: {model.token_mgr.provider}\n"
-            content += f"支持视觉: {model.vision_supported}\n"
-            content += f"支持工具: {model.tool_call_supported}\n"
-
-            yield entities.CommandReturn(text=content.strip())
-
-@operator.operator_class(
-    name="set",
-    help='设置默认使用模型',
-    privilege=2,
-    parent_class=ModelOperator
-)
-class ModelSetOperator(operator.CommandOperator):
-    """Model Set命令"""
-    
-    async def execute(self, context: entities.ExecuteContext) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        model_name = context.crt_params[0]
-
-        model = None
-        for _model in self.ap.model_mgr.model_list:
-            if model_name == _model.name:
-                model = _model
-                break
-
-        if model is None:
-            yield entities.CommandReturn(error=errors.CommandError(f"未找到模型 {model_name}"))
-        else:
-            self.ap.provider_cfg.data['model'] = model_name
-            await self.ap.provider_cfg.dump_config()
-            yield entities.CommandReturn(text=f"已设置当前使用模型为 {model_name}，重置会话以生效")

pkg/command/operators/next.py

@@ -1,35 +0,0 @@
-from __future__ import annotations
-
-import typing
-import datetime
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="next",
-    help="切换到后一个对话",
-    usage='!next'
-)
-class NextOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if context.session.conversations:
-            # 找到当前会话的下一个会话
-            for index in range(len(context.session.conversations)):
-                if context.session.conversations[index] == context.session.using_conversation:
-                    if index == len(context.session.conversations)-1:
-                        yield entities.CommandReturn(error=errors.CommandOperationError('已经是最后一个对话了'))
-                        return
-                    else:
-                        context.session.using_conversation = context.session.conversations[index+1]
-                        time_str = context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")
-
-                        yield entities.CommandReturn(text=f"已切换到后一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}")
-                        return
-        else:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))

pkg/command/operators/ollama.py

@@ -1,121 +0,0 @@
-from __future__ import annotations
-
-import json
-import typing
-import traceback
-
-import ollama
-from .. import operator, entities, errors
-
-
-@operator.operator_class(
-    name="ollama",
-    help="ollama平台操作",
-    usage="!ollama\n!ollama show <模型名>\n!ollama pull <模型名>\n!ollama del <模型名>"
-)
-class OllamaOperator(operator.CommandOperator):
-    async def execute(
-            self, context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        try:
-            content: str = '模型列表:\n'
-            model_list: list = ollama.list().get('models', [])
-            for model in model_list:
-                content += f"名称: {model['name']}\n"
-                content += f"修改时间: {model['modified_at']}\n"
-                content += f"大小: {bytes_to_mb(model['size'])}MB\n\n"
-            yield entities.CommandReturn(text=f"{content.strip()}")
-        except ollama.ResponseError as e:
-            yield entities.CommandReturn(error=errors.CommandError(f"无法获取模型列表，请确认 Ollama 服务正常"))
-
-
-def bytes_to_mb(num_bytes):
-    mb: float = num_bytes / 1024 / 1024
-    return format(mb, '.2f')
-
-
-@operator.operator_class(
-    name="show",
-    help="ollama模型详情",
-    privilege=2,
-    parent_class=OllamaOperator
-)
-class OllamaShowOperator(operator.CommandOperator):
-    async def execute(
-            self, context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        content: str = '模型详情:\n'
-        try:
-            show: dict = ollama.show(model=context.crt_params[0])
-            model_info: dict = show.get('model_info', {})
-            ignore_show: str = 'too long to show...'
-
-            for key in ['license', 'modelfile']:
-                show[key] = ignore_show
-
-            for key in ['tokenizer.chat_template.rag', 'tokenizer.chat_template.tool_use']:
-                model_info[key] = ignore_show
-
-            content += json.dumps(show, indent=4)
-            yield entities.CommandReturn(text=content.strip())
-        except ollama.ResponseError as e:
-            yield entities.CommandReturn(error=errors.CommandError(f"无法获取模型详情，请确认 Ollama 服务正常"))
-
-@operator.operator_class(
-    name="pull",
-    help="ollama模型拉取",
-    privilege=2,
-    parent_class=OllamaOperator
-)
-class OllamaPullOperator(operator.CommandOperator):
-    async def execute(
-            self, context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        try:
-            model_list: list = ollama.list().get('models', [])
-            if context.crt_params[0] in [model['name'] for model in model_list]:
-                yield entities.CommandReturn(text="模型已存在")
-                return
-        except ollama.ResponseError as e:
-            yield entities.CommandReturn(error=errors.CommandError(f"无法获取模型列表，请确认 Ollama 服务正常"))
-            return
-
-        on_progress: bool = False
-        progress_count: int = 0
-        try:
-            for resp in ollama.pull(model=context.crt_params[0], stream=True):
-                total: typing.Any = resp.get('total')
-                if not on_progress:
-                    if total is not None:
-                        on_progress = True
-                    yield entities.CommandReturn(text=resp.get('status'))
-                else:
-                    if total is None:
-                        on_progress = False
-
-                    completed: typing.Any = resp.get('completed')
-                    if isinstance(completed, int) and isinstance(total, int):
-                        percentage_completed = (completed / total) * 100
-                        if percentage_completed > progress_count:
-                            progress_count += 10
-                            yield entities.CommandReturn(
-                                text=f"下载进度: {completed}/{total} ({percentage_completed:.2f}%)")
-        except ollama.ResponseError as e:
-            yield entities.CommandReturn(text=f"拉取失败: {e.error}")
-
-
-@operator.operator_class(
-    name="del",
-    help="ollama模型删除",
-    privilege=2,
-    parent_class=OllamaOperator
-)
-class OllamaDelOperator(operator.CommandOperator):
-    async def execute(
-            self, context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        try:
-            ret: str = ollama.delete(model=context.crt_params[0])['status']
-        except ollama.ResponseError as e:
-            ret = f"{e.error}"
-        yield entities.CommandReturn(text=ret)

pkg/command/operators/plugin.py

@@ -1,237 +0,0 @@
-from __future__ import annotations
-import typing
-import traceback
-
-from .. import operator, entities, cmdmgr, errors
-from ...core import app
-
-
-@operator.operator_class(
-    name="plugin",
-    help="插件操作",
-    usage="!plugin\n!plugin get <插件仓库地址>\n!plugin update\n!plugin del <插件名>\n!plugin on <插件名>\n!plugin off <插件名>"
-)
-class PluginOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        plugin_list = self.ap.plugin_mgr.plugins
-        reply_str = "所有插件({}):\n".format(len(plugin_list))
-        idx = 0
-        for plugin in plugin_list:
-            reply_str += "\n#{} {} {}\n{}\nv{}\n作者: {}\n"\
-                .format((idx+1), plugin.plugin_name,
-                        "[已禁用]" if not plugin.enabled else "",
-                        plugin.plugin_description,
-                        plugin.plugin_version, plugin.plugin_author)
-
-            # TODO 从元数据调远程地址
-
-            idx += 1
-
-        yield entities.CommandReturn(text=reply_str)
-
-
-@operator.operator_class(
-    name="get",
-    help="安装插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginGetOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件仓库地址'))
-        else:
-            repo = context.crt_params[0]
-
-            yield entities.CommandReturn(text="正在安装插件...")
-
-            try:
-                await self.ap.plugin_mgr.install_plugin(repo)
-                yield entities.CommandReturn(text="插件安装成功，请重启程序以加载插件")
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件安装失败: "+str(e)))
-
-
-@operator.operator_class(
-    name="update",
-    help="更新插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginUpdateOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
-
-                if plugin_container is not None:
-                    yield entities.CommandReturn(text="正在更新插件...")
-                    await self.ap.plugin_mgr.update_plugin(plugin_name)
-                    yield entities.CommandReturn(text="插件更新成功，请重启程序以加载插件")
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件更新失败: 未找到插件"))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
-
-@operator.operator_class(
-    name="all",
-    help="更新所有插件",
-    privilege=2,
-    parent_class=PluginUpdateOperator
-)
-class PluginUpdateAllOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-
-        try:
-            plugins = [
-                p.plugin_name
-                for p in self.ap.plugin_mgr.plugins
-            ]
-
-            if plugins:
-                yield entities.CommandReturn(text="正在更新插件...")
-                updated = []
-                try:
-                    for plugin_name in plugins:
-                        await self.ap.plugin_mgr.update_plugin(plugin_name)
-                        updated.append(plugin_name)
-                except Exception as e:
-                    traceback.print_exc()
-                    yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
-                yield entities.CommandReturn(text="已更新插件: {}".format(", ".join(updated)))
-            else:
-                yield entities.CommandReturn(text="没有可更新的插件")
-        except Exception as e:
-            traceback.print_exc()
-            yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
-
-
-@operator.operator_class(
-    name="del",
-    help="删除插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginDelOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
-
-                if plugin_container is not None:
-                    yield entities.CommandReturn(text="正在删除插件...")
-                    await self.ap.plugin_mgr.uninstall_plugin(plugin_name)
-                    yield entities.CommandReturn(text="插件删除成功，请重启程序以加载插件")
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件删除失败: 未找到插件"))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件删除失败: "+str(e)))
-
-
-async def update_plugin_status(plugin_name: str, new_status: bool, ap: app.Application):
-    if ap.plugin_mgr.get_plugin_by_name(plugin_name) is not None:
-        for plugin in ap.plugin_mgr.plugins:
-            if plugin.plugin_name == plugin_name:
-                plugin.enabled = new_status
-
-                for func in plugin.content_functions:
-                    func.enable = new_status
-                
-                await ap.plugin_mgr.setting.dump_container_setting(ap.plugin_mgr.plugins)
-
-                break
-
-        return True
-    else:
-        return False
-
-
-@operator.operator_class(
-    name="on",
-    help="启用插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginEnableOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                if await update_plugin_status(plugin_name, True, self.ap):
-                    yield entities.CommandReturn(text="已启用插件: {}".format(plugin_name))
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: 未找到插件 {}".format(plugin_name)))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: "+str(e)))
-
-
-@operator.operator_class(
-    name="off",
-    help="禁用插件",
-    privilege=2,
-    parent_class=PluginOperator
-)
-class PluginDisableOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        
-        if len(context.crt_params) == 0:
-            yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
-        else:
-            plugin_name = context.crt_params[0]
-
-            try:
-                if await update_plugin_status(plugin_name, False, self.ap):
-                    yield entities.CommandReturn(text="已禁用插件: {}".format(plugin_name))
-                else:
-                    yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: 未找到插件 {}".format(plugin_name)))
-            except Exception as e:
-                traceback.print_exc()
-                yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: "+str(e)))

pkg/command/operators/prompt.py

@@ -1,29 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="prompt",
-    help="查看当前对话的前文",
-    usage='!prompt'
-)
-class PromptOperator(operator.CommandOperator):
-    
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行
-        """
-        if context.session.using_conversation is None:
-            yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
-        else:
-            reply_str = '当前对话所有内容:\n\n'
-
-            for msg in context.session.using_conversation.messages:
-                reply_str += f"{msg.role}: {msg.content}\n"
-
-            yield entities.CommandReturn(text=reply_str)

pkg/command/operators/resend.py

@@ -1,34 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="resend",
-    help="重发当前会话的最后一条消息",
-    usage='!resend'
-)
-class ResendOperator(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        # 回滚到最后一条用户message前
-        if context.session.using_conversation is None:
-            yield entities.CommandReturn(error=errors.CommandError("当前没有对话"))
-        else:
-            conv_msg = context.session.using_conversation.messages
-            
-            # 倒序一直删到最后一条用户message
-            while len(conv_msg) > 0 and conv_msg[-1].role != 'user':
-                conv_msg.pop()
-
-            if len(conv_msg) > 0:
-                # 删除最后一条用户message
-                conv_msg.pop()
-
-            # 不重发了，提示用户已删除就行了
-            yield entities.CommandReturn(text="已删除最后一次请求记录")

pkg/command/operators/reset.py

@@ -1,23 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="reset",
-    help="重置当前会话",
-    usage='!reset'
-)
-class ResetOperator(operator.CommandOperator):
-    
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        """执行
-        """
-        context.session.using_conversation = None
-
-        yield entities.CommandReturn(text="已重置当前会话")

pkg/command/operators/update.py

@@ -1,30 +0,0 @@
-from __future__ import annotations
-
-import typing
-import traceback
-
-from .. import operator, entities, cmdmgr, errors
-
-
-@operator.operator_class(
-    name="update",
-    help="更新程序",
-    usage='!update',
-    privilege=2
-)
-class UpdateCommand(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-       
-        try:
-            yield entities.CommandReturn(text="正在进行更新...")
-            if await self.ap.ver_mgr.update_all():
-                yield entities.CommandReturn(text="更新完成，请重启程序以应用更新")
-            else:
-                yield entities.CommandReturn(text="当前已是最新版本")
-        except Exception as e:
-            traceback.print_exc()
-            yield entities.CommandReturn(error=errors.CommandError("更新失败: "+str(e)))

pkg/command/operators/version.py

@@ -1,27 +0,0 @@
-from __future__ import annotations
-
-import typing
-
-from .. import operator, cmdmgr, entities, errors
-
-
-@operator.operator_class(
-    name="version",
-    help="显示版本信息",
-    usage='!version'
-)
-class VersionCommand(operator.CommandOperator):
-
-    async def execute(
-        self,
-        context: entities.ExecuteContext
-    ) -> typing.AsyncGenerator[entities.CommandReturn, None]:
-        reply_str = f"当前版本: \n{self.ap.ver_mgr.get_current_version()}"
-
-        try:
-            if await self.ap.ver_mgr.is_new_version_available():
-                reply_str += "\n\n有新版本可用。"
-        except:
-            pass
-
-        yield entities.CommandReturn(text=reply_str.strip())

pkg/config/impls/json.py

@@ -1,59 +0,0 @@
-import os
-import shutil
-import json
-
-from .. import model as file_model
-
-
-class JSONConfigFile(file_model.ConfigFile):
-    """JSON配置文件"""
-
-    def __init__(
-        self, config_file_name: str, template_file_name: str = None, template_data: dict = None
-    ) -> None:
-        self.config_file_name = config_file_name
-        self.template_file_name = template_file_name
-        self.template_data = template_data
-
-    def exists(self) -> bool:
-        return os.path.exists(self.config_file_name)
-
-    async def create(self):
-        if self.template_file_name is not None:
-            shutil.copyfile(self.template_file_name, self.config_file_name)
-        elif self.template_data is not None:
-            with open(self.config_file_name, "w", encoding="utf-8") as f:
-                json.dump(self.template_data, f, indent=4, ensure_ascii=False)
-        else:
-            raise ValueError("template_file_name or template_data must be provided")
-
-    async def load(self, completion: bool=True) -> dict:
-
-        if not self.exists():
-            await self.create()
-
-        if self.template_file_name is not None:
-            with open(self.template_file_name, "r", encoding="utf-8") as f:
-                self.template_data = json.load(f)
-
-        with open(self.config_file_name, "r", encoding="utf-8") as f:
-            try:
-                cfg = json.load(f)
-            except json.JSONDecodeError as e:
-                raise Exception(f"配置文件 {self.config_file_name} 语法错误: {e}")
-
-        if completion:
-
-            for key in self.template_data:
-                if key not in cfg:
-                    cfg[key] = self.template_data[key]
-
-        return cfg
-
-    async def save(self, cfg: dict):
-        with open(self.config_file_name, "w", encoding="utf-8") as f:
-            json.dump(cfg, f, indent=4, ensure_ascii=False)
-
-    def save_sync(self, cfg: dict):
-        with open(self.config_file_name, "w", encoding="utf-8") as f:
-            json.dump(cfg, f, indent=4, ensure_ascii=False)

pkg/config/manager.py

@@ -1,57 +0,0 @@
-from __future__ import annotations
-
-from . import model as file_model
-from .impls import pymodule, json as json_file
-
-
-managers: ConfigManager = []
-
-
-class ConfigManager:
-    """配置文件管理器"""
-
-    file: file_model.ConfigFile = None
-    """配置文件实例"""
-
-    data: dict = None
-    """配置数据"""
-
-    def __init__(self, cfg_file: file_model.ConfigFile) -> None:
-        self.file = cfg_file
-        self.data = {}
-
-    async def load_config(self, completion: bool=True):
-        self.data = await self.file.load(completion=completion)
-
-    async def dump_config(self):
-        await self.file.save(self.data)
-
-    def dump_config_sync(self):
-        self.file.save_sync(self.data)
-
-
-async def load_python_module_config(config_name: str, template_name: str, completion: bool=True) -> ConfigManager:
-    """加载Python模块配置文件"""
-    cfg_inst = pymodule.PythonModuleConfigFile(
-        config_name,
-        template_name
-    )
-
-    cfg_mgr = ConfigManager(cfg_inst)
-    await cfg_mgr.load_config(completion=completion)
-
-    return cfg_mgr
-
-
-async def load_json_config(config_name: str, template_name: str=None, template_data: dict=None, completion: bool=True) -> ConfigManager:
-    """加载JSON配置文件"""
-    cfg_inst = json_file.JSONConfigFile(
-        config_name,
-        template_name,
-        template_data
-    )
-
-    cfg_mgr = ConfigManager(cfg_inst)
-    await cfg_mgr.load_config(completion=completion)
-
-    return cfg_mgr

pkg/core/app.py

@@ -1,118 +0,0 @@
-from __future__ import annotations
-
-import logging
-import asyncio
-import traceback
-
-from ..platform import manager as im_mgr
-from ..provider.session import sessionmgr as llm_session_mgr
-from ..provider.modelmgr import modelmgr as llm_model_mgr
-from ..provider.sysprompt import sysprompt as llm_prompt_mgr
-from ..provider.tools import toolmgr as llm_tool_mgr
-from ..provider import runnermgr
-from ..config import manager as config_mgr
-from ..audit.center import v2 as center_mgr
-from ..command import cmdmgr
-from ..plugin import manager as plugin_mgr
-from ..pipeline import pool
-from ..pipeline import controller, stagemgr
-from ..utils import version as version_mgr, proxy as proxy_mgr, announce as announce_mgr
-
-
-class Application:
-    """运行时应用对象和上下文"""
-
-    platform_mgr: im_mgr.PlatformManager = None
-
-    cmd_mgr: cmdmgr.CommandManager = None
-
-    sess_mgr: llm_session_mgr.SessionManager = None
-
-    model_mgr: llm_model_mgr.ModelManager = None
-
-    prompt_mgr: llm_prompt_mgr.PromptManager = None
-
-    tool_mgr: llm_tool_mgr.ToolManager = None
-
-    runner_mgr: runnermgr.RunnerManager = None
-
-    # ======= 配置管理器 =======
-
-    command_cfg: config_mgr.ConfigManager = None
-
-    pipeline_cfg: config_mgr.ConfigManager = None
-
-    platform_cfg: config_mgr.ConfigManager = None
-
-    provider_cfg: config_mgr.ConfigManager = None
-
-    system_cfg: config_mgr.ConfigManager = None
-
-    # ======= 元数据配置管理器 =======
-
-    sensitive_meta: config_mgr.ConfigManager = None
-
-    adapter_qq_botpy_meta: config_mgr.ConfigManager = None
-
-    plugin_setting_meta: config_mgr.ConfigManager = None
-
-    llm_models_meta: config_mgr.ConfigManager = None
-
-    # =========================
-
-    ctr_mgr: center_mgr.V2CenterAPI = None
-
-    plugin_mgr: plugin_mgr.PluginManager = None
-
-    query_pool: pool.QueryPool = None
-
-    ctrl: controller.Controller = None
-
-    stage_mgr: stagemgr.StageManager = None
-
-    ver_mgr: version_mgr.VersionManager = None
-
-    ann_mgr: announce_mgr.AnnouncementManager = None
-
-    proxy_mgr: proxy_mgr.ProxyManager = None
-
-    logger: logging.Logger = None
-
-    def __init__(self):
-        pass
-
-    async def initialize(self):
-        pass
-
-    async def run(self):
-        await self.plugin_mgr.initialize_plugins()
-
-        tasks = []
-
-        try:
-   
-            tasks = [
-                asyncio.create_task(self.platform_mgr.run()),
-                asyncio.create_task(self.ctrl.run())
-            ]
-
-            # 挂信号处理
-
-            import signal
-
-            def signal_handler(sig, frame):
-                for task in tasks:
-                    task.cancel()
-                self.logger.info("程序退出.")
-                exit(0)
-
-            signal.signal(signal.SIGINT, signal_handler)
-
-            await asyncio.gather(*tasks, return_exceptions=True)
-
-        except asyncio.CancelledError:
-            pass
-        except Exception as e:
-            self.logger.error(f"应用运行致命异常: {e}")
-            self.logger.debug(f"Traceback: {traceback.format_exc()}")
-

pkg/core/boot.py

@@ -1,46 +0,0 @@
-from __future__ import print_function
-
-import traceback
-
-from . import app
-from ..audit import identifier
-from . import stage
-
-# 引入启动阶段实现以便注册
-from .stages import load_config, setup_logger, build_app, migrate, show_notes
-
-
-stage_order = [
-    "LoadConfigStage",
-    "MigrationStage",
-    "SetupLoggerStage",
-    "BuildAppStage",
-    "ShowNotesStage"
-]
-
-
-async def make_app() -> app.Application:
-
-    # 生成标识符
-    identifier.init()
-
-    ap = app.Application()
-
-    # 执行启动阶段
-    for stage_name in stage_order:
-        stage_cls = stage.preregistered_stages[stage_name]
-        stage_inst = stage_cls()
-
-        await stage_inst.run(ap)
-
-    await ap.initialize()
-
-    return ap
-
-
-async def main():
-    try:
-        app_inst = await make_app()
-        await app_inst.run()
-    except Exception as e:
-        traceback.print_exc()

pkg/core/bootutils/deps.py

@@ -1,37 +0,0 @@
-import pip
-
-required_deps = {
-    "requests": "requests",
-    "openai": "openai",
-    "anthropic": "anthropic",
-    "colorlog": "colorlog",
-    "mirai": "yiri-mirai-rc",
-    "aiocqhttp": "aiocqhttp",
-    "botpy": "qq-botpy",
-    "PIL": "pillow",
-    "nakuru": "nakuru-project-idk",
-    "tiktoken": "tiktoken",
-    "yaml": "pyyaml",
-    "aiohttp": "aiohttp",
-    "psutil": "psutil",
-    "async_lru": "async-lru",
-    "ollama": "ollama",
-}
-
-
-async def check_deps() -> list[str]:
-    global required_deps
-
-    missing_deps = []
-    for dep in required_deps:
-        try:
-            __import__(dep)
-        except ImportError:
-            missing_deps.append(dep)
-    return missing_deps
-
-async def install_deps(deps: list[str]):
-    global required_deps
-    
-    for dep in deps:
-        pip.main(["install", required_deps[dep]])

pkg/core/bootutils/files.py

@@ -1,43 +0,0 @@
-from __future__ import annotations
-
-import os
-import shutil
-import sys
-
-
-required_files = {
-    "plugins/__init__.py": "templates/__init__.py",
-    "plugins/plugins.json": "templates/plugin-settings.json",
-    "data/config/command.json": "templates/command.json",
-    "data/config/pipeline.json": "templates/pipeline.json",
-    "data/config/platform.json": "templates/platform.json",
-    "data/config/provider.json": "templates/provider.json",
-    "data/config/system.json": "templates/system.json",
-    "data/scenario/default.json": "templates/scenario-template.json",
-}
-
-required_paths = [
-    "temp",
-    "data",
-    "data/metadata",
-    "data/prompts",
-    "data/scenario",
-    "data/logs",
-    "data/config",
-    "plugins"
-]
-
-async def generate_files() -> list[str]:
-    global required_files, required_paths
-
-    for required_paths in required_paths:
-        if not os.path.exists(required_paths):
-            os.mkdir(required_paths)
-
-    generated_files = []
-    for file in required_files:
-        if not os.path.exists(file):
-            shutil.copyfile(required_files[file], file)
-            generated_files.append(file)
-
-    return generated_files

pkg/core/bootutils/log.py

@@ -1,61 +0,0 @@
-import logging
-import os
-import sys
-import time
-
-import colorlog
-
-
-log_colors_config = {
-    "DEBUG": "green",  # cyan white
-    "INFO": "white",
-    "WARNING": "yellow",
-    "ERROR": "red",
-    "CRITICAL": "cyan",
-}
-
-
-async def init_logging() -> logging.Logger:
-    # 删除所有现有的logger
-    for handler in logging.root.handlers[:]:
-        logging.root.removeHandler(handler)
-
-    level = logging.INFO
-
-    if "DEBUG" in os.environ and os.environ["DEBUG"] in ["true", "1"]:
-        level = logging.DEBUG
-
-    log_file_name = "data/logs/qcg-%s.log" % time.strftime(
-        "%Y-%m-%d-%H-%M-%S", time.localtime()
-    )
-
-    qcg_logger = logging.getLogger("qcg")
-
-    qcg_logger.setLevel(level)
-
-    color_formatter = colorlog.ColoredFormatter(
-        fmt="%(log_color)s[%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n    %(message)s",
-        datefmt="%Y-%m-%d %H:%M:%S",
-        log_colors=log_colors_config,
-    )
-
-    stream_handler = logging.StreamHandler(sys.stdout)
-
-    log_handlers: logging.Handler = [stream_handler, logging.FileHandler(log_file_name)]
-
-    for handler in log_handlers:
-        handler.setLevel(level)
-        handler.setFormatter(color_formatter)
-        qcg_logger.addHandler(handler)
-
-    qcg_logger.debug("日志初始化完成，日志级别：%s" % level)
-    logging.basicConfig(
-        level=logging.CRITICAL,  # 设置日志输出格式
-        format="[DEPR][%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n%(message)s",
-        # 日志输出的格式
-        # -8表示占位符，让输出左对齐，输出长度都为8位
-        datefmt="%Y-%m-%d %H:%M:%S",  # 时间输出的格式
-        handlers=[logging.NullHandler()],
-    )
-
-    return qcg_logger

pkg/core/entities.py

@@ -1,121 +0,0 @@
-from __future__ import annotations
-
-import enum
-import typing
-import datetime
-import asyncio
-
-import pydantic
-import mirai
-
-from ..provider import entities as llm_entities
-from ..provider.modelmgr import entities
-from ..provider.sysprompt import entities as sysprompt_entities
-from ..provider.tools import entities as tools_entities
-from ..platform import adapter as msadapter
-
-
-class LauncherTypes(enum.Enum):
-    """一个请求的发起者类型"""
-
-    PERSON = 'person'
-    """私聊"""
-
-    GROUP = 'group'
-    """群聊"""
-
-
-class Query(pydantic.BaseModel):
-    """一次请求的信息封装"""
-
-    query_id: int
-    """请求ID，添加进请求池时生成"""
-
-    launcher_type: LauncherTypes
-    """会话类型，platform处理阶段设置"""
-
-    launcher_id: int
-    """会话ID，platform处理阶段设置"""
-
-    sender_id: int
-    """发送者ID，platform处理阶段设置"""
-
-    message_event: mirai.MessageEvent
-    """事件，platform收到的原始事件"""
-
-    message_chain: mirai.MessageChain
-    """消息链，platform收到的原始消息链"""
-
-    adapter: msadapter.MessageSourceAdapter
-    """消息平台适配器对象，单个app中可能启用了多个消息平台适配器，此对象表明发起此query的适配器"""
-
-    session: typing.Optional[Session] = None
-    """会话对象，由前置处理器阶段设置"""
-
-    messages: typing.Optional[list[llm_entities.Message]] = []
-    """历史消息列表，由前置处理器阶段设置"""
-
-    prompt: typing.Optional[sysprompt_entities.Prompt] = None
-    """情景预设内容，由前置处理器阶段设置"""
-
-    user_message: typing.Optional[llm_entities.Message] = None
-    """此次请求的用户消息对象，由前置处理器阶段设置"""
-
-    use_model: typing.Optional[entities.LLMModelInfo] = None
-    """使用的模型，由前置处理器阶段设置"""
-
-    use_funcs: typing.Optional[list[tools_entities.LLMFunction]] = None
-    """使用的函数，由前置处理器阶段设置"""
-
-    resp_messages: typing.Optional[list[llm_entities.Message]] | typing.Optional[list[mirai.MessageChain]] = []
-    """由Process阶段生成的回复消息对象列表"""
-
-    resp_message_chain: typing.Optional[list[mirai.MessageChain]] = None
-    """回复消息链，从resp_messages包装而得"""
-
-    # ======= 内部保留 =======
-    current_stage: "pkg.pipeline.stagemgr.StageInstContainer" = None
-
-    class Config:
-        arbitrary_types_allowed = True
-
-
-class Conversation(pydantic.BaseModel):
-    """对话，包含于 Session 中，一个 Session 可以有多个历史 Conversation，但只有一个当前使用的 Conversation""" 
-
-    prompt: sysprompt_entities.Prompt
-
-    messages: list[llm_entities.Message]
-
-    create_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    update_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    use_model: entities.LLMModelInfo
-
-    use_funcs: typing.Optional[list[tools_entities.LLMFunction]]
-
-
-class Session(pydantic.BaseModel):
-    """会话，一个 Session 对应一个 {launcher_type.value}_{launcher_id}"""
-    launcher_type: LauncherTypes
-
-    launcher_id: int
-
-    sender_id: typing.Optional[int] = 0
-
-    use_prompt_name: typing.Optional[str] = 'default'
-
-    using_conversation: typing.Optional[Conversation] = None
-
-    conversations: typing.Optional[list[Conversation]] = []
-
-    create_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    update_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
-
-    semaphore: typing.Optional[asyncio.Semaphore] = None
-    """当前会话的信号量，用于限制并发"""
-
-    class Config:
-        arbitrary_types_allowed = True

pkg/core/migrations/m001_sensitive_word_migration.py

@@ -1,26 +0,0 @@
-from __future__ import annotations
-
-import os
-import sys
-
-from .. import migration
-
-
-@migration.migration_class("sensitive-word-migration", 1)
-class SensitiveWordMigration(migration.Migration):
-    """敏感词迁移
-    """
-
-    async def need_migrate(self) -> bool:
-        """判断当前环境是否需要运行此迁移
-        """
-        return os.path.exists("data/config/sensitive-words.json") and not os.path.exists("data/metadata/sensitive-words.json")
-
-    async def run(self):
-        """执行迁移
-        """
-        # 移动文件
-        os.rename("data/config/sensitive-words.json", "data/metadata/sensitive-words.json")
-
-        # 重新加载配置
-        await self.ap.sensitive_meta.load_config()

pkg/core/migrations/m008_ad_fixwin_config_migrate.py

@@ -1,29 +0,0 @@
-from __future__ import annotations
-
-from .. import migration
-
-
-@migration.migration_class("ad-fixwin-cfg-migration", 8)
-class AdFixwinConfigMigration(migration.Migration):
-    """迁移"""
-
-    async def need_migrate(self) -> bool:
-        """判断当前环境是否需要运行此迁移"""
-        return isinstance(
-            self.ap.pipeline_cfg.data["rate-limit"]["fixwin"]["default"],
-            int
-        )
-
-    async def run(self):
-        """执行迁移"""
-        
-        for session_name in self.ap.pipeline_cfg.data["rate-limit"]["fixwin"]:
-
-            temp_dict = {
-                "window-size": 60,
-                "limit": self.ap.pipeline_cfg.data["rate-limit"]["fixwin"][session_name]
-            }
-            
-            self.ap.pipeline_cfg.data["rate-limit"]["fixwin"][session_name] = temp_dict
-
-        await self.ap.pipeline_cfg.dump_config()

pkg/core/notes/n002_selection_mode_on_windows.py

@@ -1,21 +0,0 @@
-from __future__ import annotations
-
-import typing
-import os
-import sys
-import logging
-
-from .. import note, app
-
-
-@note.note_class("SelectionModeOnWindows", 2)
-class SelectionModeOnWindows(note.LaunchNote):
-    """Windows 上的选择模式提示信息
-    """
-
-    async def need_show(self) -> bool:
-        return os.name == 'nt'
-
-    async def yield_note(self) -> typing.AsyncGenerator[typing.Tuple[str, int], None]:
-
-        yield """您正在使用 Windows 系统，若窗口左上角显示处于”选择“模式，程序将被暂停运行，此时请右键窗口中空白区域退出选择模式。""", logging.INFO

pkg/core/stages/build_app.py

@@ -1,100 +0,0 @@
-from __future__ import annotations
-
-import sys
-
-from .. import stage, app
-from ...utils import version, proxy, announce, platform
-from ...audit.center import v2 as center_v2
-from ...audit import identifier
-from ...pipeline import pool, controller, stagemgr
-from ...plugin import manager as plugin_mgr
-from ...command import cmdmgr
-from ...provider.session import sessionmgr as llm_session_mgr
-from ...provider.modelmgr import modelmgr as llm_model_mgr
-from ...provider.sysprompt import sysprompt as llm_prompt_mgr
-from ...provider.tools import toolmgr as llm_tool_mgr
-from ...provider import runnermgr
-from ...platform import manager as im_mgr
-
-@stage.stage_class("BuildAppStage")
-class BuildAppStage(stage.BootingStage):
-    """构建应用阶段
-    """
-
-    async def run(self, ap: app.Application):
-        """构建app对象的各个组件对象并初始化
-        """
-
-        proxy_mgr = proxy.ProxyManager(ap)
-        await proxy_mgr.initialize()
-        ap.proxy_mgr = proxy_mgr
-        
-        ver_mgr = version.VersionManager(ap)
-        await ver_mgr.initialize()
-        ap.ver_mgr = ver_mgr
-
-        center_v2_api = center_v2.V2CenterAPI(
-            ap,
-            backend_url=ap.system_cfg.data["qcg-center-url"],
-            basic_info={
-                "host_id": identifier.identifier["host_id"],
-                "instance_id": identifier.identifier["instance_id"],
-                "semantic_version": ver_mgr.get_current_version(),
-                "platform": platform.get_platform(),
-            },
-            runtime_info={
-                "admin_id": "{}".format(ap.system_cfg.data["admin-sessions"]),
-                "msg_source": str([
-                    adapter_cfg['adapter'] if 'adapter' in adapter_cfg else 'unknown'
-                    for adapter_cfg in ap.platform_cfg.data['platform-adapters'] if adapter_cfg['enable']
-                ]),
-            },
-        )
-        ap.ctr_mgr = center_v2_api
-
-        # 发送公告
-        ann_mgr = announce.AnnouncementManager(ap)
-        ap.ann_mgr = ann_mgr
-
-        ap.query_pool = pool.QueryPool()
-
-        plugin_mgr_inst = plugin_mgr.PluginManager(ap)
-        await plugin_mgr_inst.initialize()
-        ap.plugin_mgr = plugin_mgr_inst
-        await plugin_mgr_inst.load_plugins()
-
-        cmd_mgr_inst = cmdmgr.CommandManager(ap)
-        await cmd_mgr_inst.initialize()
-        ap.cmd_mgr = cmd_mgr_inst
-
-        llm_model_mgr_inst = llm_model_mgr.ModelManager(ap)
-        await llm_model_mgr_inst.initialize()
-        ap.model_mgr = llm_model_mgr_inst
-
-        llm_session_mgr_inst = llm_session_mgr.SessionManager(ap)
-        await llm_session_mgr_inst.initialize()
-        ap.sess_mgr = llm_session_mgr_inst
-
-        llm_prompt_mgr_inst = llm_prompt_mgr.PromptManager(ap)
-        await llm_prompt_mgr_inst.initialize()
-        ap.prompt_mgr = llm_prompt_mgr_inst
-
-        llm_tool_mgr_inst = llm_tool_mgr.ToolManager(ap)
-        await llm_tool_mgr_inst.initialize()
-        ap.tool_mgr = llm_tool_mgr_inst
-
-        runner_mgr_inst = runnermgr.RunnerManager(ap)
-        await runner_mgr_inst.initialize()
-        ap.runner_mgr = runner_mgr_inst
-
-        im_mgr_inst = im_mgr.PlatformManager(ap=ap)
-        await im_mgr_inst.initialize()
-        ap.platform_mgr = im_mgr_inst
-
-        stage_mgr = stagemgr.StageManager(ap)
-        await stage_mgr.initialize()
-        ap.stage_mgr = stage_mgr
-
-
-        ctrl = controller.Controller(ap)
-        ap.ctrl = ctrl

pkg/core/stages/load_config.py

@@ -1,31 +0,0 @@
-from __future__ import annotations
-
-from .. import stage, app
-from ..bootutils import config
-
-
-@stage.stage_class("LoadConfigStage")
-class LoadConfigStage(stage.BootingStage):
-    """加载配置文件阶段
-    """
-
-    async def run(self, ap: app.Application):
-        """启动
-        """
-        ap.command_cfg = await config.load_json_config("data/config/command.json", "templates/command.json", completion=False)
-        ap.pipeline_cfg = await config.load_json_config("data/config/pipeline.json", "templates/pipeline.json", completion=False)
-        ap.platform_cfg = await config.load_json_config("data/config/platform.json", "templates/platform.json", completion=False)
-        ap.provider_cfg = await config.load_json_config("data/config/provider.json", "templates/provider.json", completion=False)
-        ap.system_cfg = await config.load_json_config("data/config/system.json", "templates/system.json", completion=False)
-
-        ap.plugin_setting_meta = await config.load_json_config("plugins/plugins.json", "templates/plugin-settings.json")
-        await ap.plugin_setting_meta.dump_config()
-
-        ap.sensitive_meta = await config.load_json_config("data/metadata/sensitive-words.json", "templates/metadata/sensitive-words.json")
-        await ap.sensitive_meta.dump_config()
-
-        ap.adapter_qq_botpy_meta = await config.load_json_config("data/metadata/adapter-qq-botpy.json", "templates/metadata/adapter-qq-botpy.json")
-        await ap.adapter_qq_botpy_meta.dump_config()
-
-        ap.llm_models_meta = await config.load_json_config("data/metadata/llm-models.json", "templates/metadata/llm-models.json")
-        await ap.llm_models_meta.dump_config()

pkg/core/stages/migrate.py

@@ -1,30 +0,0 @@
-from __future__ import annotations
-
-import importlib
-
-from .. import stage, app
-from .. import migration
-from ..migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion
-from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
-from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config
-
-
-@stage.stage_class("MigrationStage")
-class MigrationStage(stage.BootingStage):
-    """迁移阶段
-    """
-
-    async def run(self, ap: app.Application):
-        """启动
-        """
-
-        migrations = migration.preregistered_migrations
-
-        # 按照迁移号排序
-        migrations.sort(key=lambda x: x.number)
-
-        for migration_cls in migrations:
-            migration_instance = migration_cls(ap)
-
-            if await migration_instance.need_migrate():
-                await migration_instance.run()

pkg/core/stages/setup_logger.py

@@ -1,15 +0,0 @@
-from __future__ import annotations
-
-from .. import stage, app
-from ..bootutils import log
-
-
-@stage.stage_class("SetupLoggerStage")
-class SetupLoggerStage(stage.BootingStage):
-    """设置日志器阶段
-    """
-
-    async def run(self, ap: app.Application):
-        """启动
-        """
-        ap.logger = await log.init_logging()

pkg/core/stages/show_notes.py

@@ -1,28 +0,0 @@
-from __future__ import annotations
-
-from .. import stage, app, note
-from ..notes import n001_classic_msgs, n002_selection_mode_on_windows
-
-
-@stage.stage_class("ShowNotesStage")
-class ShowNotesStage(stage.BootingStage):
-    """显示启动信息阶段
-    """
-
-    async def run(self, ap: app.Application):
-
-        # 排序
-        note.preregistered_notes.sort(key=lambda x: x.number)
-
-        for note_cls in note.preregistered_notes:
-            try:
-                note_inst = note_cls(ap)
-                if await note_inst.need_show():
-                    async for ret in note_inst.yield_note():
-                        if not ret:
-                            continue
-                        msg, level = ret
-                        if msg:
-                            ap.logger.log(level, msg)
-            except Exception as e:
-                continue

pkg/pipeline/bansess/bansess.py

@@ -1,51 +0,0 @@
-from __future__ import annotations
-import re
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-
-
-@stage.stage_class('BanSessionCheckStage')
-class BanSessionCheckStage(stage.PipelineStage):
-    """访问控制处理阶段
-    
-    仅检查query中群号或个人号是否在访问控制列表中。
-    """
-
-    async def initialize(self):
-        pass
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str
-    ) -> entities.StageProcessResult:
-        
-        found = False
-
-        mode = self.ap.pipeline_cfg.data['access-control']['mode']
-
-        sess_list = self.ap.pipeline_cfg.data['access-control'][mode]
-
-        if (query.launcher_type.value == 'group' and 'group_*' in sess_list) \
-            or (query.launcher_type.value == 'person' and 'person_*' in sess_list):
-            found = True
-        else:
-            for sess in sess_list:
-                if sess == f"{query.launcher_type.value}_{query.launcher_id}":
-                    found = True
-                    break
-            
-        ctn = False
-
-        if mode == 'whitelist':
-            ctn = found
-        else:
-            ctn = not found
-
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE if ctn else entities.ResultType.INTERRUPT,
-            new_query=query,
-            console_notice=f'根据访问控制忽略消息: {query.launcher_type.value}_{query.launcher_id}' if not ctn else ''
-        )

pkg/pipeline/cntfilter/filter.py

@@ -1,80 +0,0 @@
-# 内容过滤器的抽象类
-from __future__ import annotations
-import abc
-import typing
-
-from ...core import app
-from . import entities
-from ...provider import entities as llm_entities
-
-
-preregistered_filters: list[typing.Type[ContentFilter]] = []
-
-
-def filter_class(
-    name: str
-) -> typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]:
-    """内容过滤器类装饰器
-
-    Args:
-        name (str): 过滤器名称
-
-    Returns:
-        typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]: 装饰器
-    """
-    def decorator(cls: typing.Type[ContentFilter]) -> typing.Type[ContentFilter]:
-        assert issubclass(cls, ContentFilter)
-
-        cls.name = name
-
-        preregistered_filters.append(cls)
-
-        return cls
-
-    return decorator
-
-
-class ContentFilter(metaclass=abc.ABCMeta):
-    """内容过滤器抽象类"""
-
-    name: str
-
-    ap: app.Application
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-
-    @property
-    def enable_stages(self):
-        """启用的阶段
-
-        默认为消息请求AI前后的两个阶段。
-
-        entity.EnableStage.PRE: 消息请求AI前，此时需要检查的内容是用户的输入消息。
-        entity.EnableStage.POST: 消息请求AI后，此时需要检查的内容是AI的回复消息。
-        """
-        return [
-            entities.EnableStage.PRE,
-            entities.EnableStage.POST
-        ]
-
-    async def initialize(self):
-        """初始化过滤器
-        """
-        pass
-
-    @abc.abstractmethod
-    async def process(self, message: str=None, image_url=None) -> entities.FilterResult:
-        """处理消息
-
-        分为前后阶段，具体取决于 enable_stages 的值。
-        对于内容过滤器来说，不需要考虑消息所处的阶段，只需要检查消息内容即可。
-        
-        Args:
-            message (str): 需要检查的内容
-            image_url (str): 要检查的图片的 URL
-
-        Returns:
-            entities.FilterResult: 过滤结果，具体内容请查看 entities.FilterResult 类的文档
-        """
-        raise NotImplementedError

pkg/pipeline/cntfilter/filters/baiduexamine.py

@@ -1,62 +0,0 @@
-from __future__ import annotations
-
-import aiohttp
-
-from .. import entities
-from .. import filter as filter_model
-
-
-BAIDU_EXAMINE_URL = "https://aip.baidubce.com/rest/2.0/solution/v1/text_censor/v2/user_defined?access_token={}"
-BAIDU_EXAMINE_TOKEN_URL = "https://aip.baidubce.com/oauth/2.0/token"
-
-
-@filter_model.filter_class("baidu-cloud-examine")
-class BaiduCloudExamine(filter_model.ContentFilter):
-    """百度云内容审核"""
-
-    async def _get_token(self) -> str:
-        async with aiohttp.ClientSession() as session:
-            async with session.post(
-                BAIDU_EXAMINE_TOKEN_URL,
-                params={
-                    "grant_type": "client_credentials",
-                    "client_id": self.ap.pipeline_cfg.data['baidu-cloud-examine']['api-key'],
-                    "client_secret": self.ap.pipeline_cfg.data['baidu-cloud-examine']['api-secret']
-                }
-            ) as resp:
-                return (await resp.json())['access_token']
-
-    async def process(self, message: str) -> entities.FilterResult:
-
-        async with aiohttp.ClientSession() as session:
-            async with session.post(
-                BAIDU_EXAMINE_URL.format(await self._get_token()),
-                headers={'Content-Type': 'application/x-www-form-urlencoded', 'Accept': 'application/json'},
-                data=f"text={message}".encode('utf-8')
-            ) as resp:
-                result = await resp.json()
-
-                if "error_code" in result:
-                    return entities.FilterResult(
-                        level=entities.ResultLevel.BLOCK,
-                        replacement=message,
-                        user_notice='',
-                        console_notice=f"百度云判定出错，错误信息：{result['error_msg']}"
-                    )
-                else:
-                    conclusion = result["conclusion"]
-
-                    if conclusion in ("合规"):
-                        return entities.FilterResult(
-                            level=entities.ResultLevel.PASS,
-                            replacement=message,
-                            user_notice='',
-                            console_notice=f"百度云判定结果：{conclusion}"
-                        )
-                    else:
-                        return entities.FilterResult(
-                            level=entities.ResultLevel.BLOCK,
-                            replacement=message,
-                            user_notice="消息中存在不合适的内容, 请修改",
-                            console_notice=f"百度云判定结果：{conclusion}"
-                        )

pkg/pipeline/controller.py

@@ -1,176 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-import typing
-import traceback
-
-import mirai
-
-from ..core import app, entities
-from . import entities as pipeline_entities
-from ..plugin import events
-
-
-class Controller:
-    """总控制器
-    """
-    ap: app.Application
-
-    semaphore: asyncio.Semaphore = None
-    """请求并发控制信号量"""
-
-    def __init__(self, ap: app.Application):
-        self.ap = ap
-        self.semaphore = asyncio.Semaphore(self.ap.system_cfg.data['pipeline-concurrency'])
-
-    async def consumer(self):
-        """事件处理循环
-        """
-        try:
-            while True:
-                selected_query: entities.Query = None
-
-                # 取请求
-                async with self.ap.query_pool:
-                    queries: list[entities.Query] = self.ap.query_pool.queries
-
-                    for query in queries:
-                        session = await self.ap.sess_mgr.get_session(query)
-                        self.ap.logger.debug(f"Checking query {query} session {session}")
-
-                        if not session.semaphore.locked():
-                            selected_query = query
-                            await session.semaphore.acquire()
-
-                            break
-
-                    if selected_query:  # 找到了
-                        queries.remove(selected_query)
-                    else:  # 没找到 说明：没有请求 或者 所有query对应的session都已达到并发上限
-                        await self.ap.query_pool.condition.wait()
-                        continue
-
-                if selected_query:
-                    async def _process_query(selected_query):
-                        async with self.semaphore:  # 总并发上限
-                            await self.process_query(selected_query)
-                        
-                        async with self.ap.query_pool:
-                            (await self.ap.sess_mgr.get_session(selected_query)).semaphore.release()
-                            # 通知其他协程，有新的请求可以处理了
-                            self.ap.query_pool.condition.notify_all()
-                    
-                    asyncio.create_task(_process_query(selected_query))
-        except Exception as e:
-            # traceback.print_exc()
-            self.ap.logger.error(f"控制器循环出错: {e}")
-            self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
-
-    async def _check_output(self, query: entities.Query, result: pipeline_entities.StageProcessResult):
-        """检查输出
-        """
-        if result.user_notice:
-            # 处理str类型
-
-            if isinstance(result.user_notice, str):
-                result.user_notice = mirai.MessageChain(
-                    mirai.Plain(result.user_notice)
-                )
-            elif isinstance(result.user_notice, list):
-                result.user_notice = mirai.MessageChain(
-                    *result.user_notice
-                )
-
-            await self.ap.platform_mgr.send(
-                query.message_event,
-                result.user_notice,
-                query.adapter
-            )
-        if result.debug_notice:
-            self.ap.logger.debug(result.debug_notice)
-        if result.console_notice:
-            self.ap.logger.info(result.console_notice)
-        if result.error_notice:
-            self.ap.logger.error(result.error_notice)
-
-    async def _execute_from_stage(
-        self,
-        stage_index: int,
-        query: entities.Query,
-    ):
-        """从指定阶段开始执行，实现了责任链模式和基于生成器的阶段分叉功能。
-
-        如何看懂这里为什么这么写？
-        去问 GPT-4:
-            Q1: 现在有一个责任链，其中有多个stage，query对象在其中传递，stage.process可能返回Result也有可能返回typing.AsyncGenerator[Result, None]，
-                如果返回的是生成器，需要挨个生成result，检查是否result中是否要求继续，如果要求继续就进行下一个stage。如果此次生成器产生的result处理完了，就继续生成下一个result，
-                调用后续的stage，直到该生成器全部生成完。责任链中可能有多个stage会返回生成器
-            Q2: 不是这样的，你可能理解有误。如果我们责任链上有这些Stage：
-
-                A B C D E F G
-
-                如果所有的stage都返回Result，且所有Result都要求继续，那么执行顺序是：
-
-                A B C D E F G
-
-                现在假设C返回的是AsyncGenerator，那么执行顺序是：
-
-                A B C D E F G C D E F G C D E F G ...
-            Q3: 但是如果不止一个stage会返回生成器呢？
-        """
-        i = stage_index
-
-        while i < len(self.ap.stage_mgr.stage_containers):
-            stage_container = self.ap.stage_mgr.stage_containers[i]
-
-            query.current_stage = stage_container  # 标记到 Query 对象里
-            
-            result = stage_container.inst.process(query, stage_container.inst_name)
-
-            if isinstance(result, typing.Coroutine):
-                result = await result
-
-            if isinstance(result, pipeline_entities.StageProcessResult):  # 直接返回结果
-                self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {result}")
-                await self._check_output(query, result)
-
-                if result.result_type == pipeline_entities.ResultType.INTERRUPT:
-                    self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
-                    break
-                elif result.result_type == pipeline_entities.ResultType.CONTINUE:
-                    query = result.new_query
-            elif isinstance(result, typing.AsyncGenerator):  # 生成器
-                self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} gen")
-
-                async for sub_result in result:
-                    self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {sub_result}")
-                    await self._check_output(query, sub_result)
-
-                    if sub_result.result_type == pipeline_entities.ResultType.INTERRUPT:
-                        self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
-                        break
-                    elif sub_result.result_type == pipeline_entities.ResultType.CONTINUE:
-                        query = sub_result.new_query
-                        await self._execute_from_stage(i + 1, query)
-                break
-
-            i += 1
-
-    async def process_query(self, query: entities.Query):
-        """处理请求
-        """
-        self.ap.logger.debug(f"Processing query {query}")
-
-        try:
-            await self._execute_from_stage(0, query)
-        except Exception as e:
-            self.ap.logger.error(f"处理请求时出错 query_id={query.query_id} stage={query.current_stage.inst_name} : {e}")
-            self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
-            # traceback.print_exc()
-        finally:
-            self.ap.logger.debug(f"Query {query} processed")
-
-    async def run(self):
-        """运行控制器
-        """
-        await self.consumer()

pkg/pipeline/longtext/longtext.py

@@ -1,78 +0,0 @@
-from __future__ import annotations
-import os
-import traceback
-
-from PIL import Image, ImageDraw, ImageFont
-from mirai.models.message import MessageComponent, Plain, MessageChain
-
-from ...core import app
-from . import strategy
-from .strategies import image, forward
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...config import manager as cfg_mgr
-
-
-@stage.stage_class("LongTextProcessStage")
-class LongTextProcessStage(stage.PipelineStage):
-    """长消息处理阶段
-
-    改写：
-        - resp_message_chain
-    """
-
-    strategy_impl: strategy.LongTextStrategy
-
-    async def initialize(self):
-        config = self.ap.platform_cfg.data['long-text-process']
-        if config['strategy'] == 'image':
-            use_font = config['font-path']
-            try:
-                # 检查是否存在
-                if not os.path.exists(use_font):
-                    # 若是windows系统，使用微软雅黑
-                    if os.name == "nt":
-                        use_font = "C:/Windows/Fonts/msyh.ttc"
-                        if not os.path.exists(use_font):
-                            self.ap.logger.warn("未找到字体文件，且无法使用Windows自带字体，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。")
-                            config['blob_message_strategy'] = "forward"
-                        else:
-                            self.ap.logger.info("使用Windows自带字体：" + use_font)
-                            config['font-path'] = use_font
-                    else:
-                        self.ap.logger.warn("未找到字体文件，且无法使用系统自带字体，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。")
-
-                        self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
-            except:
-                traceback.print_exc()
-                self.ap.logger.error("加载字体文件失败({})，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。".format(use_font))
-
-                self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
-
-        for strategy_cls in strategy.preregistered_strategies:
-            if strategy_cls.name == config['strategy']:
-                self.strategy_impl = strategy_cls(self.ap)
-                break
-        else:
-            raise ValueError(f"未找到名为 {config['strategy']} 的长消息处理策略")
-
-        await self.strategy_impl.initialize()
-    
-    async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
-        # 检查是否包含非 Plain 组件
-        contains_non_plain = False
-
-        for msg in query.resp_message_chain[-1]:
-            if not isinstance(msg, Plain):
-                contains_non_plain = True
-                break
-        
-        if contains_non_plain:
-            self.ap.logger.debug("消息中包含非 Plain 组件，跳过长消息处理。")
-        elif len(str(query.resp_message_chain[-1])) > self.ap.platform_cfg.data['long-text-process']['threshold']:
-            query.resp_message_chain[-1] = MessageChain(await self.strategy_impl.process(str(query.resp_message_chain[-1]), query))
-
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE,
-            new_query=query
-        )

pkg/pipeline/longtext/strategies/forward.py

@@ -1,64 +0,0 @@
-# 转发消息组件
-from __future__ import annotations
-import typing
-
-from mirai.models import MessageChain
-from mirai.models.message import MessageComponent, ForwardMessageNode
-from mirai.models.base import MiraiBaseModel
-
-from .. import strategy as strategy_model
-from ....core import entities as core_entities
-
-
-class ForwardMessageDiaplay(MiraiBaseModel):
-    title: str = "群聊的聊天记录"
-    brief: str = "[聊天记录]"
-    source: str = "聊天记录"
-    preview: typing.List[str] = []
-    summary: str = "查看x条转发消息"
-
-
-class Forward(MessageComponent):
-    """合并转发。"""
-    type: str = "Forward"
-    """消息组件类型。"""
-    display: ForwardMessageDiaplay
-    """显示信息"""
-    node_list: typing.List[ForwardMessageNode]
-    """转发消息节点列表。"""
-    def __init__(self, *args, **kwargs):
-        if len(args) == 1:
-            self.node_list = args[0]
-            super().__init__(**kwargs)
-        super().__init__(*args, **kwargs)
-
-    def __str__(self):
-        return '[聊天记录]'
-
-
-@strategy_model.strategy_class("forward")
-class ForwardComponentStrategy(strategy_model.LongTextStrategy):
-
-    async def process(self, message: str, query: core_entities.Query) -> list[MessageComponent]:
-        display = ForwardMessageDiaplay(
-            title="群聊的聊天记录",
-            brief="[聊天记录]",
-            source="聊天记录",
-            preview=["QQ用户: "+message],
-            summary="查看1条转发消息"
-        )
-
-        node_list = [
-            ForwardMessageNode(
-                sender_id=query.adapter.bot_account_id,
-                sender_name='QQ用户',
-                message_chain=MessageChain([message])
-            )
-        ]
-
-        forward = Forward(
-            display=display,
-            node_list=node_list
-        )
-
-        return [forward]

pkg/pipeline/msgtrun/msgtrun.py

@@ -1,35 +0,0 @@
-from __future__ import annotations
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from . import truncator
-from .truncators import round
-
-
-@stage.stage_class("ConversationMessageTruncator")
-class ConversationMessageTruncator(stage.PipelineStage):
-    """会话消息截断器
-
-    用于截断会话消息链，以适应平台消息长度限制。
-    """
-    trun: truncator.Truncator
-
-    async def initialize(self):
-        use_method = self.ap.pipeline_cfg.data['msg-truncate']['method']
-
-        for trun in truncator.preregistered_truncators:
-            if trun.name == use_method:
-                self.trun = trun(self.ap)
-                break
-        else:
-            raise ValueError(f"未知的截断器: {use_method}")
-
-    async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
-        """处理
-        """
-        query = await self.trun.truncate(query)
-
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE,
-            new_query=query
-        )

pkg/pipeline/pool.py

@@ -1,58 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-
-import mirai
-
-from ..core import entities
-from ..platform import adapter as msadapter
-
-
-class QueryPool:
-    """请求池，请求获得调度进入pipeline之前，保存在这里"""
-
-    query_id_counter: int = 0
-
-    pool_lock: asyncio.Lock
-
-    queries: list[entities.Query]
-
-    condition: asyncio.Condition
-
-    def __init__(self):
-        self.query_id_counter = 0
-        self.pool_lock = asyncio.Lock()
-        self.queries = []
-        self.condition = asyncio.Condition(self.pool_lock)
-
-    async def add_query(
-        self,
-        launcher_type: entities.LauncherTypes,
-        launcher_id: int,
-        sender_id: int,
-        message_event: mirai.MessageEvent,
-        message_chain: mirai.MessageChain,
-        adapter: msadapter.MessageSourceAdapter
-    ) -> entities.Query:
-        async with self.condition:
-            query = entities.Query(
-                query_id=self.query_id_counter,
-                launcher_type=launcher_type,
-                launcher_id=launcher_id,
-                sender_id=sender_id,
-                message_event=message_event,
-                message_chain=message_chain,
-                resp_messages=[],
-                resp_message_chain=[],
-                adapter=adapter
-            )
-            self.queries.append(query)
-            self.query_id_counter += 1
-            self.condition.notify_all()
-
-    async def __aenter__(self):
-        await self.pool_lock.acquire()
-        return self
-
-    async def __aexit__(self, exc_type, exc_val, exc_tb):
-        self.pool_lock.release()

pkg/pipeline/preproc/preproc.py

@@ -1,90 +0,0 @@
-from __future__ import annotations
-
-import mirai
-
-from .. import stage, entities, stagemgr
-from ...core import entities as core_entities
-from ...provider import entities as llm_entities
-from ...plugin import events
-
-
-@stage.stage_class("PreProcessor")
-class PreProcessor(stage.PipelineStage):
-    """请求预处理阶段
-
-    签出会话、prompt、上文、模型、内容函数。
-
-    改写：
-        - session
-        - prompt
-        - messages
-        - user_message
-        - use_model
-        - use_funcs
-    """
-
-    async def process(
-        self,
-        query: core_entities.Query,
-        stage_inst_name: str,
-    ) -> entities.StageProcessResult:
-        """处理
-        """
-        session = await self.ap.sess_mgr.get_session(query)
-
-        conversation = await self.ap.sess_mgr.get_conversation(session)
-
-        # 从会话取出消息和情景预设到query
-        query.session = session
-        query.prompt = conversation.prompt.copy()
-        query.messages = conversation.messages.copy()
-
-        query.use_model = conversation.use_model
-
-        query.use_funcs = conversation.use_funcs if query.use_model.tool_call_supported else None
-
-
-        # 检查vision是否启用，没启用就删除所有图片
-        if not self.ap.provider_cfg.data['enable-vision'] or not query.use_model.vision_supported:
-            for msg in query.messages:
-                if isinstance(msg.content, list):
-                    for me in msg.content:
-                        if me.type == 'image_url':
-                            msg.content.remove(me)
-
-        content_list = []
-
-        for me in query.message_chain:
-            if isinstance(me, mirai.Plain):
-                content_list.append(
-                    llm_entities.ContentElement.from_text(me.text)
-                )
-            elif isinstance(me, mirai.Image):
-                if self.ap.provider_cfg.data['enable-vision'] and query.use_model.vision_supported:
-                    if me.url is not None:
-                        content_list.append(
-                            llm_entities.ContentElement.from_image_url(str(me.url))
-                        )
-
-        query.user_message = llm_entities.Message(  # TODO 适配多模态输入
-            role='user',
-            content=content_list
-        )
-        # =========== 触发事件 PromptPreProcessing
-
-        event_ctx = await self.ap.plugin_mgr.emit_event(
-            event=events.PromptPreProcessing(
-                session_name=f'{query.session.launcher_type.value}_{query.session.launcher_id}',
-                default_prompt=query.prompt.messages,
-                prompt=query.messages,
-                query=query
-            )
-        )
-
-        query.prompt.messages = event_ctx.event.default_prompt
-        query.messages = event_ctx.event.prompt
-
-        return entities.StageProcessResult(
-            result_type=entities.ResultType.CONTINUE,
-            new_query=query
-        )